{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"aTYTwhGW1rZS","executionInfo":{"status":"ok","timestamp":1679663947390,"user_tz":-60,"elapsed":35456,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"outputId":"5e905119-3142-4fb6-84ce-58fe07d5be68"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}],"source":["# connect to drive\n","from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"markdown","metadata":{"id":"ZQFQjWJdERpo"},"source":["Data preprocessing"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"ulPH65OC3gbh","executionInfo":{"status":"ok","timestamp":1679663950004,"user_tz":-60,"elapsed":2633,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["# import\n","import os\n","import pandas as pd \n","import matplotlib.pyplot as plt\n","%matplotlib inline \n","import numpy as np\n","\n","# libraries\n","from datetime import datetime\n","import re\n","%matplotlib inline\n","import numpy as np\n","import pandas as pd\n","import scipy\n","from datetime import datetime, timedelta\n","import statsmodels.api as sm\n","from statsmodels.tsa.api import VAR\n","import matplotlib.pyplot as plt\n","import pandas_datareader as pdr\n","import math"]},{"cell_type":"code","execution_count":3,"metadata":{"id":"-yxFdjSl2W-u","executionInfo":{"status":"ok","timestamp":1679663951432,"user_tz":-60,"elapsed":1440,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["# read data from google drive\n","#data = pd.read_excel('/content/drive/MyDrive/Rady_for_R_USDEUR.xlsx', parse_dates =['Date'])\n","#data = pd.read_excel('/content/drive/MyDrive/Rady_for_R_USDEUR_EPU.xlsx', parse_dates =['Date'])\n","#data = pd.read_excel('/content/drive/MyDrive/Rady_for_R_USDEUR_EPU_my data.xlsx', parse_dates =['Date'])\n","data = pd.read_excel('/content/drive/MyDrive/Rady_for_R_USDEUR_EPU_my data_M2 in percent.xlsx', parse_dates =['Date'])\n","\n","#data = pd.read_excel('/content/drive/MyDrive/Rady_for_R_USDEUR_EPU_TradeBalance.xlsx', parse_dates =['Date'])"]},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":391},"id":"R0fAcGOg4LBv","executionInfo":{"status":"ok","timestamp":1679663951435,"user_tz":-60,"elapsed":86,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"outputId":"1cc90ff8-86d8-4049-f8d7-fd24619752e8"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["         Date  USDEUR  CPI_US  CPI_EU  Money_Market_Rate_US  \\\n","12 2000-01-01  1.0131   164.1   74.98                  6.04   \n","13 2000-02-01  0.9834   164.4   75.22                  6.10   \n","14 2000-03-01  0.9643   164.7   75.49                  6.20   \n","15 2000-04-01  0.9449   164.7   75.57                  6.31   \n","16 2000-05-01  0.9059   164.8   75.66                  6.76   \n","\n","    Money_Market_Rate_EU  Real_EURUSD   IPI_US  IPI_EU   M2_US  M2_EU  \\\n","12                  3.34     1.001018  94.5458    95.7  4656.2    2.9   \n","13                  3.54     0.961470  94.8185    97.0  4669.4    3.0   \n","14                  3.75     0.943721  95.1983    97.3  4699.9    3.1   \n","15                  3.93     0.923868  95.8921    98.1  4755.9    3.3   \n","16                  4.36     0.876763  96.0691    99.3  4743.9    3.6   \n","\n","    Stock Market News  Economic Development News  FED News  \\\n","12           0.258237                   0.265871  0.255893   \n","13           0.259493                   0.261406  0.255016   \n","14           0.262109                   0.258737  0.254687   \n","15           0.259771                   0.263898  0.254085   \n","16           0.257433                   0.269059  0.253482   \n","\n","    Micro Finance News  International Trade News      EPU_US     EPU_EU  \n","12            0.249303                  0.260273  187.453420  51.951060  \n","13            0.252066                  0.260401  108.823551  72.962877  \n","14            0.247164                  0.265140   58.469634  75.439555  \n","15            0.248209                  0.262308   92.103565  72.605200  \n","16            0.249254                  0.259477  181.052572  84.041663  "],"text/html":["\n","  <div id=\"df-4df5dc29-1897-4475-b39b-10b41353a00b\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Date</th>\n","      <th>USDEUR</th>\n","      <th>CPI_US</th>\n","      <th>CPI_EU</th>\n","      <th>Money_Market_Rate_US</th>\n","      <th>Money_Market_Rate_EU</th>\n","      <th>Real_EURUSD</th>\n","      <th>IPI_US</th>\n","      <th>IPI_EU</th>\n","      <th>M2_US</th>\n","      <th>M2_EU</th>\n","      <th>Stock Market News</th>\n","      <th>Economic Development News</th>\n","      <th>FED News</th>\n","      <th>Micro Finance News</th>\n","      <th>International Trade News</th>\n","      <th>EPU_US</th>\n","      <th>EPU_EU</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>12</th>\n","      <td>2000-01-01</td>\n","      <td>1.0131</td>\n","      <td>164.1</td>\n","      <td>74.98</td>\n","      <td>6.04</td>\n","      <td>3.34</td>\n","      <td>1.001018</td>\n","      <td>94.5458</td>\n","      <td>95.7</td>\n","      <td>4656.2</td>\n","      <td>2.9</td>\n","      <td>0.258237</td>\n","      <td>0.265871</td>\n","      <td>0.255893</td>\n","      <td>0.249303</td>\n","      <td>0.260273</td>\n","      <td>187.453420</td>\n","      <td>51.951060</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>2000-02-01</td>\n","      <td>0.9834</td>\n","      <td>164.4</td>\n","      <td>75.22</td>\n","      <td>6.10</td>\n","      <td>3.54</td>\n","      <td>0.961470</td>\n","      <td>94.8185</td>\n","      <td>97.0</td>\n","      <td>4669.4</td>\n","      <td>3.0</td>\n","      <td>0.259493</td>\n","      <td>0.261406</td>\n","      <td>0.255016</td>\n","      <td>0.252066</td>\n","      <td>0.260401</td>\n","      <td>108.823551</td>\n","      <td>72.962877</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>2000-03-01</td>\n","      <td>0.9643</td>\n","      <td>164.7</td>\n","      <td>75.49</td>\n","      <td>6.20</td>\n","      <td>3.75</td>\n","      <td>0.943721</td>\n","      <td>95.1983</td>\n","      <td>97.3</td>\n","      <td>4699.9</td>\n","      <td>3.1</td>\n","      <td>0.262109</td>\n","      <td>0.258737</td>\n","      <td>0.254687</td>\n","      <td>0.247164</td>\n","      <td>0.265140</td>\n","      <td>58.469634</td>\n","      <td>75.439555</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>2000-04-01</td>\n","      <td>0.9449</td>\n","      <td>164.7</td>\n","      <td>75.57</td>\n","      <td>6.31</td>\n","      <td>3.93</td>\n","      <td>0.923868</td>\n","      <td>95.8921</td>\n","      <td>98.1</td>\n","      <td>4755.9</td>\n","      <td>3.3</td>\n","      <td>0.259771</td>\n","      <td>0.263898</td>\n","      <td>0.254085</td>\n","      <td>0.248209</td>\n","      <td>0.262308</td>\n","      <td>92.103565</td>\n","      <td>72.605200</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>2000-05-01</td>\n","      <td>0.9059</td>\n","      <td>164.8</td>\n","      <td>75.66</td>\n","      <td>6.76</td>\n","      <td>4.36</td>\n","      <td>0.876763</td>\n","      <td>96.0691</td>\n","      <td>99.3</td>\n","      <td>4743.9</td>\n","      <td>3.6</td>\n","      <td>0.257433</td>\n","      <td>0.269059</td>\n","      <td>0.253482</td>\n","      <td>0.249254</td>\n","      <td>0.259477</td>\n","      <td>181.052572</td>\n","      <td>84.041663</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4df5dc29-1897-4475-b39b-10b41353a00b')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":4}],"source":["data['Date'] = pd.to_datetime(data['Date'])\n","#data = data.truncate(before='2000-01-01')\n","data = data.iloc[12:]\n","data.head()"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"ztN6xB0WBFU1","executionInfo":{"status":"ok","timestamp":1679663951442,"user_tz":-60,"elapsed":80,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["data['USDEUR'] = 1/data['USDEUR']\n","data.rename(columns={'USDEUR':'EURUSD'}, inplace=True)\n","#data.info()"]},{"cell_type":"code","execution_count":6,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":403},"id":"e-ebZQLCCXc8","executionInfo":{"status":"ok","timestamp":1679663951449,"user_tz":-60,"elapsed":84,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"outputId":"c966d228-2315-4bd8-bca6-5864c12020b1"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["              EURUSD  CPI_US  CPI_EU  Money_Market_Rate_US  \\\n","Date                                                         \n","2000-01-01  0.987069   164.1   74.98                  6.04   \n","2000-02-01  1.016880   164.4   75.22                  6.10   \n","2000-03-01  1.037022   164.7   75.49                  6.20   \n","2000-04-01  1.058313   164.7   75.57                  6.31   \n","2000-05-01  1.103875   164.8   75.66                  6.76   \n","\n","            Money_Market_Rate_EU   IPI_US  IPI_EU   M2_US  M2_EU  \\\n","Date                                                               \n","2000-01-01                  3.34  94.5458    95.7  4656.2    2.9   \n","2000-02-01                  3.54  94.8185    97.0  4669.4    3.0   \n","2000-03-01                  3.75  95.1983    97.3  4699.9    3.1   \n","2000-04-01                  3.93  95.8921    98.1  4755.9    3.3   \n","2000-05-01                  4.36  96.0691    99.3  4743.9    3.6   \n","\n","            Stock Market News  Economic Development News  FED News  \\\n","Date                                                                 \n","2000-01-01           0.258237                   0.265871  0.255893   \n","2000-02-01           0.259493                   0.261406  0.255016   \n","2000-03-01           0.262109                   0.258737  0.254687   \n","2000-04-01           0.259771                   0.263898  0.254085   \n","2000-05-01           0.257433                   0.269059  0.253482   \n","\n","            Micro Finance News  International Trade News      EPU_US  \\\n","Date                                                                   \n","2000-01-01            0.249303                  0.260273  187.453420   \n","2000-02-01            0.252066                  0.260401  108.823551   \n","2000-03-01            0.247164                  0.265140   58.469634   \n","2000-04-01            0.248209                  0.262308   92.103565   \n","2000-05-01            0.249254                  0.259477  181.052572   \n","\n","               EPU_EU  \n","Date                   \n","2000-01-01  51.951060  \n","2000-02-01  72.962877  \n","2000-03-01  75.439555  \n","2000-04-01  72.605200  \n","2000-05-01  84.041663  "],"text/html":["\n","  <div id=\"df-c3ec3db7-6831-4c1e-a810-9f7ce457c88c\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr 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<th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2000-01-01</th>\n","      <td>0.987069</td>\n","      <td>164.1</td>\n","      <td>74.98</td>\n","      <td>6.04</td>\n","      <td>3.34</td>\n","      <td>94.5458</td>\n","      <td>95.7</td>\n","      <td>4656.2</td>\n","      <td>2.9</td>\n","      <td>0.258237</td>\n","      <td>0.265871</td>\n","      <td>0.255893</td>\n","      <td>0.249303</td>\n","      <td>0.260273</td>\n","      <td>187.453420</td>\n","      <td>51.951060</td>\n","    </tr>\n","    <tr>\n","      <th>2000-02-01</th>\n","      <td>1.016880</td>\n","      <td>164.4</td>\n","      <td>75.22</td>\n","      <td>6.10</td>\n","      <td>3.54</td>\n","      <td>94.8185</td>\n","      <td>97.0</td>\n","      <td>4669.4</td>\n","      <td>3.0</td>\n","      <td>0.259493</td>\n","      <td>0.261406</td>\n","      <td>0.255016</td>\n","      <td>0.252066</td>\n","      <td>0.260401</td>\n","      <td>108.823551</td>\n","      <td>72.962877</td>\n","    </tr>\n","    <tr>\n","      <th>2000-03-01</th>\n","      <td>1.037022</td>\n","      <td>164.7</td>\n","      <td>75.49</td>\n","      <td>6.20</td>\n","      <td>3.75</td>\n","      <td>95.1983</td>\n","      <td>97.3</td>\n","      <td>4699.9</td>\n","      <td>3.1</td>\n","      <td>0.262109</td>\n","      <td>0.258737</td>\n","      <td>0.254687</td>\n","      <td>0.247164</td>\n","      <td>0.265140</td>\n","      <td>58.469634</td>\n","      <td>75.439555</td>\n","    </tr>\n","    <tr>\n","      <th>2000-04-01</th>\n","      <td>1.058313</td>\n","      <td>164.7</td>\n","      <td>75.57</td>\n","      <td>6.31</td>\n","      <td>3.93</td>\n","      <td>95.8921</td>\n","      <td>98.1</td>\n","      <td>4755.9</td>\n","      <td>3.3</td>\n","      <td>0.259771</td>\n","      <td>0.263898</td>\n","      <td>0.254085</td>\n","      <td>0.248209</td>\n","      <td>0.262308</td>\n","      <td>92.103565</td>\n","      <td>72.605200</td>\n","    </tr>\n","    <tr>\n","      <th>2000-05-01</th>\n","      <td>1.103875</td>\n","      <td>164.8</td>\n","      <td>75.66</td>\n","      <td>6.76</td>\n","      <td>4.36</td>\n","      <td>96.0691</td>\n","      <td>99.3</td>\n","      <td>4743.9</td>\n","      <td>3.6</td>\n","      <td>0.257433</td>\n","      <td>0.269059</td>\n","      <td>0.253482</td>\n","      <td>0.249254</td>\n","      <td>0.259477</td>\n","      <td>181.052572</td>\n","      <td>84.041663</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c3ec3db7-6831-4c1e-a810-9f7ce457c88c')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        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axis=1)\n","data.head()"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":399},"id":"MCzuQDELJo3W","executionInfo":{"status":"ok","timestamp":1679663951451,"user_tz":-60,"elapsed":79,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"outputId":"6aeebb63-a218-4b2a-e095-e3203bce1293"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["           EURUSD      CPI_US      CPI_EU  Money_Market_Rate_US  \\\n","count  212.000000  212.000000  212.000000            212.000000   \n","mean     0.841003  205.388042   90.309198              2.040047   \n","std      0.133993   23.659320    8.368261              2.026628   \n","min      0.634558  164.100000   74.980000              0.230000   \n","25%      0.745782  183.175000   83.107500              0.317500   \n","50%      0.794285  208.107000   91.720000              1.165000   \n","75%      0.905717  227.963750   98.940000              3.310000   \n","max      1.173021  239.842000  102.040000              6.790000   \n","\n","       Money_Market_Rate_EU      IPI_US      IPI_EU         M2_US  \\\n","count            212.000000  212.000000  212.000000    212.000000   \n","mean               1.953962   98.724471  102.277358   8404.090566   \n","std                1.707968    4.899083    4.449959   2587.577509   \n","min               -0.330000   87.065000   91.400000   4656.200000   \n","25%                0.247500   94.750325   99.375000   6255.900000   \n","50%                2.080000   99.569900  101.600000   7976.800000   \n","75%                3.367500  103.119575  104.625000  10557.225000   \n","max                5.110000  106.613400  113.500000  13664.400000   \n","\n","              M2_EU  Stock Market News  Economic Development News    FED News  \\\n","count    212.000000         212.000000                 212.000000  212.000000   \n","mean     617.683646           0.257548                   0.258559    0.258019   \n","std     2505.070224           0.002908                   0.002818    0.003253   \n","min        1.400000           0.248426                   0.251881    0.249076   \n","25%        3.375000           0.255798                   0.256659    0.255679   \n","50%        5.400000           0.257151                   0.258310    0.258170   \n","75%        8.300000           0.258905                   0.260234    0.260513   \n","max    11086.602000           0.274266                   0.269059    0.265534   \n","\n","       Micro Finance News  International Trade News      EPU_US      EPU_EU  \n","count          212.000000                212.000000  212.000000  212.000000  \n","mean             0.257254                  0.258634  161.584631  144.280978  \n","std              0.005645                  0.003297  102.076036   66.734568  \n","min              0.244891                  0.250209   31.958258   47.692346  \n","25%              0.252988                  0.256069   91.515842   91.929692  \n","50%              0.256817                  0.257922  137.057354  137.311429  \n","75%              0.260831                  0.260585  198.666496  181.830417  \n","max              0.272551                  0.268980  692.238702  433.277502  "],"text/html":["\n","  <div id=\"df-89a2b9aa-a846-4584-ac76-1550cbd6e31f\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>EURUSD</th>\n","      <th>CPI_US</th>\n","      <th>CPI_EU</th>\n","      <th>Money_Market_Rate_US</th>\n","      <th>Money_Market_Rate_EU</th>\n","      <th>IPI_US</th>\n","      <th>IPI_EU</th>\n","      <th>M2_US</th>\n","      <th>M2_EU</th>\n","      <th>Stock Market News</th>\n","      <th>Economic Development News</th>\n","      <th>FED News</th>\n","      <th>Micro Finance News</th>\n","      <th>International Trade News</th>\n","      <th>EPU_US</th>\n","      <th>EPU_EU</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","      <td>212.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>0.841003</td>\n","      <td>205.388042</td>\n","      <td>90.309198</td>\n","      <td>2.040047</td>\n","      <td>1.953962</td>\n","      <td>98.724471</td>\n","      <td>102.277358</td>\n","      <td>8404.090566</td>\n","      <td>617.683646</td>\n","      <td>0.257548</td>\n","      <td>0.258559</td>\n","      <td>0.258019</td>\n","      <td>0.257254</td>\n","      <td>0.258634</td>\n","      <td>161.584631</td>\n","      <td>144.280978</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>0.133993</td>\n","      <td>23.659320</td>\n","      <td>8.368261</td>\n","      <td>2.026628</td>\n","      <td>1.707968</td>\n","      <td>4.899083</td>\n","      <td>4.449959</td>\n","      <td>2587.577509</td>\n","      <td>2505.070224</td>\n","      <td>0.002908</td>\n","      <td>0.002818</td>\n","      <td>0.003253</td>\n","      <td>0.005645</td>\n","      <td>0.003297</td>\n","      <td>102.076036</td>\n","      <td>66.734568</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.634558</td>\n","      <td>164.100000</td>\n","      <td>74.980000</td>\n","      <td>0.230000</td>\n","      <td>-0.330000</td>\n","      <td>87.065000</td>\n","      <td>91.400000</td>\n","      <td>4656.200000</td>\n","      <td>1.400000</td>\n","      <td>0.248426</td>\n","      <td>0.251881</td>\n","      <td>0.249076</td>\n","      <td>0.244891</td>\n","      <td>0.250209</td>\n","      <td>31.958258</td>\n","      <td>47.692346</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>0.745782</td>\n","      <td>183.175000</td>\n","      <td>83.107500</td>\n","      <td>0.317500</td>\n","      <td>0.247500</td>\n","      <td>94.750325</td>\n","      <td>99.375000</td>\n","      <td>6255.900000</td>\n","      <td>3.375000</td>\n","      <td>0.255798</td>\n","      <td>0.256659</td>\n","      <td>0.255679</td>\n","      <td>0.252988</td>\n","      <td>0.256069</td>\n","      <td>91.515842</td>\n","      <td>91.929692</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>0.794285</td>\n","      <td>208.107000</td>\n","      <td>91.720000</td>\n","      <td>1.165000</td>\n","      <td>2.080000</td>\n","      <td>99.569900</td>\n","      <td>101.600000</td>\n","      <td>7976.800000</td>\n","      <td>5.400000</td>\n","      <td>0.257151</td>\n","      <td>0.258310</td>\n","      <td>0.258170</td>\n","      <td>0.256817</td>\n","      <td>0.257922</td>\n","      <td>137.057354</td>\n","      <td>137.311429</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>0.905717</td>\n","      <td>227.963750</td>\n","      <td>98.940000</td>\n","      <td>3.310000</td>\n","      <td>3.367500</td>\n","      <td>103.119575</td>\n","      <td>104.625000</td>\n","      <td>10557.225000</td>\n","      <td>8.300000</td>\n","      <td>0.258905</td>\n","      <td>0.260234</td>\n","      <td>0.260513</td>\n","      <td>0.260831</td>\n","      <td>0.260585</td>\n","      <td>198.666496</td>\n","      <td>181.830417</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>1.173021</td>\n","      <td>239.842000</td>\n","      <td>102.040000</td>\n","      <td>6.790000</td>\n","      <td>5.110000</td>\n","      <td>106.613400</td>\n","      <td>113.500000</td>\n","      <td>13664.400000</td>\n","      <td>11086.602000</td>\n","      <td>0.274266</td>\n","      <td>0.269059</td>\n","      <td>0.265534</td>\n","      <td>0.272551</td>\n","      <td>0.268980</td>\n","      <td>692.238702</td>\n","      <td>433.277502</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-89a2b9aa-a846-4584-ac76-1550cbd6e31f')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 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\n","Micro Finance News_y           0.0023    0.0007    0.0000   \n","International Trade News_y     0.0000    0.0000    0.0000   \n","EPU_US_y                       0.7085    0.0000    0.0000   \n","EPU_EU_y                       0.6934    0.0004    0.0000   \n","\n","                             Money_Market_Rate_US_x  Money_Market_Rate_EU_x  \\\n","EURUSD_y                                     0.0902                  0.5149   \n","CPI_US_y                                     0.0561                  0.0904   \n","CPI_EU_y                                     0.3395                  0.0750   \n","Money_Market_Rate_US_y                       1.0000                  0.0000   \n","Money_Market_Rate_EU_y                       0.0000                  1.0000   \n","IPI_US_y                                     0.0000                  0.0000   \n","IPI_EU_y                                     0.0657                  0.0000   \n","M2_US_y                                      0.0008                  0.0015   \n","M2_EU_y                                      0.5214                  0.1353   \n","Stock Market News_y                          0.3492                  0.1799   \n","Economic Development News_y                  0.0241                  0.1217   \n","FED News_y                                   0.0919                  0.0088   \n","Micro Finance News_y                         0.0111                  0.0222   \n","International Trade News_y                   0.0008                  0.0006   \n","EPU_US_y                                     0.0015                  0.0000   \n","EPU_EU_y                                     0.0018                  0.0033   \n","\n","                             IPI_US_x  IPI_EU_x  M2_US_x  M2_EU_x  \\\n","EURUSD_y                       0.0106    0.5178   0.1362   0.4019   \n","CPI_US_y                       0.0036    0.0423   0.3164   0.5939   \n","CPI_EU_y                       0.0209    0.0076   0.6560   0.0497   \n","Money_Market_Rate_US_y         0.0000    0.0029   0.0405   0.4429   \n","Money_Market_Rate_EU_y         0.0000    0.0000   0.0270   0.7782   \n","IPI_US_y                       1.0000    0.0000   0.0848   0.5305   \n","IPI_EU_y                       0.0000    1.0000   0.0002   0.1036   \n","M2_US_y                        0.0313    0.0012   1.0000   0.2033   \n","M2_EU_y                        0.3129    0.0592   0.0305   1.0000   \n","Stock Market News_y            0.1711    0.2039   0.0237   0.2506   \n","Economic Development News_y    0.1265    0.0794   0.0874   0.1369   \n","FED News_y                     0.0401    0.0868   0.0055   0.2285   \n","Micro Finance News_y           0.0203    0.0884   0.0010   0.2415   \n","International Trade News_y     0.0052    0.0866   0.0000   0.0090   \n","EPU_US_y                       0.0746    0.1235   0.0000   0.0000   \n","EPU_EU_y                       0.3722    0.6171   0.0000   0.0000   \n","\n","                             Stock Market News_x  Economic Development News_x  \\\n","EURUSD_y                                  0.0234                       0.0196   \n","CPI_US_y                                  0.2301                       0.2067   \n","CPI_EU_y                                  0.0063                       0.0000   \n","Money_Market_Rate_US_y                    0.0688                       0.3786   \n","Money_Market_Rate_EU_y                    0.2359                       0.0037   \n","IPI_US_y                                  0.0162                       0.1269   \n","IPI_EU_y                                  0.6190                       0.2082   \n","M2_US_y                                   0.6587                       0.1792   \n","M2_EU_y                                   0.8910                       0.1576   \n","Stock Market News_y                       1.0000                       0.4975   \n","Economic Development News_y               0.1356                       1.0000   \n","FED News_y                                0.0637                       0.0001   \n","Micro Finance News_y                      0.2549                       0.0256   \n","International Trade News_y                0.1748                       0.0001   \n","EPU_US_y                                  0.2406                       0.0126   \n","EPU_EU_y                                  0.1519                       0.0870   \n","\n","                             FED News_x  Micro Finance News_x  \\\n","EURUSD_y                         0.3099                0.0087   \n","CPI_US_y                         0.4336                0.0503   \n","CPI_EU_y                         0.0000                0.0000   \n","Money_Market_Rate_US_y           0.4563                0.4432   \n","Money_Market_Rate_EU_y           0.6646                0.0269   \n","IPI_US_y                         0.0447                0.0096   \n","IPI_EU_y                         0.4849                0.1625   \n","M2_US_y                          0.4915                0.5929   \n","M2_EU_y                          0.2622                0.0620   \n","Stock Market News_y              0.3355                0.4087   \n","Economic Development News_y      0.0104                0.0003   \n","FED News_y                       1.0000                0.0000   \n","Micro Finance News_y             0.0302                1.0000   \n","International Trade News_y       0.0005                0.0000   \n","EPU_US_y                         0.0628                0.0347   \n","EPU_EU_y                         0.1288                0.1173   \n","\n","                             International Trade News_x  EPU_US_x  EPU_EU_x  \n","EURUSD_y                                         0.0291    0.3247    0.1678  \n","CPI_US_y                                         0.0732    0.5500    0.7845  \n","CPI_EU_y                                         0.0007    0.0104    0.0001  \n","Money_Market_Rate_US_y                           0.5687    0.7399    0.0469  \n","Money_Market_Rate_EU_y                           0.2635    0.0500    0.0000  \n","IPI_US_y                                         0.1875    0.1235    0.3132  \n","IPI_EU_y                                         0.3067    0.0812    0.0236  \n","M2_US_y                                          0.8446    0.3025    0.0945  \n","M2_EU_y                                          0.3531    0.0000    0.0000  \n","Stock Market News_y                              0.7333    0.0382    0.0214  \n","Economic Development News_y                      0.2428    0.0041    0.0591  \n","FED News_y                                       0.0000    0.0248    0.0273  \n","Micro Finance News_y                             0.0293    0.0000    0.0346  \n","International Trade News_y                       1.0000    0.0001    0.0158  \n","EPU_US_y                                         0.0067    1.0000    0.0017  \n","EPU_EU_y                                         0.1507    0.0049    1.0000  "],"text/html":["\n","  <div id=\"df-701010ae-181a-4cd0-b1b4-a61b1f4674b9\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>EURUSD_x</th>\n","      <th>CPI_US_x</th>\n","      <th>CPI_EU_x</th>\n","      <th>Money_Market_Rate_US_x</th>\n","      <th>Money_Market_Rate_EU_x</th>\n","      <th>IPI_US_x</th>\n","      <th>IPI_EU_x</th>\n","      <th>M2_US_x</th>\n","      <th>M2_EU_x</th>\n","      <th>Stock Market News_x</th>\n","      <th>Economic Development News_x</th>\n","      <th>FED News_x</th>\n","      <th>Micro Finance News_x</th>\n","      <th>International Trade News_x</th>\n","      <th>EPU_US_x</th>\n","      <th>EPU_EU_x</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>EURUSD_y</th>\n","      <td>1.0000</td>\n","      <td>0.7181</td>\n","      <td>0.7859</td>\n","      <td>0.0902</td>\n","      <td>0.5149</td>\n","      <td>0.0106</td>\n","      <td>0.5178</td>\n","      <td>0.1362</td>\n","      <td>0.4019</td>\n","      <td>0.0234</td>\n","      <td>0.0196</td>\n","      <td>0.3099</td>\n","      <td>0.0087</td>\n","      <td>0.0291</td>\n","      <td>0.3247</td>\n","      <td>0.1678</td>\n","    </tr>\n","    <tr>\n","      <th>CPI_US_y</th>\n","      <td>0.1676</td>\n","      <td>1.0000</td>\n","      <td>0.0003</td>\n","      <td>0.0561</td>\n","      <td>0.0904</td>\n","      <td>0.0036</td>\n","      <td>0.0423</td>\n","      <td>0.3164</td>\n","      <td>0.5939</td>\n","      <td>0.2301</td>\n","      <td>0.2067</td>\n","      <td>0.4336</td>\n","      <td>0.0503</td>\n","      <td>0.0732</td>\n","      <td>0.5500</td>\n","      <td>0.7845</td>\n","    </tr>\n","    <tr>\n","      <th>CPI_EU_y</th>\n","      <td>0.3302</td>\n","      <td>0.1166</td>\n","      <td>1.0000</td>\n","      <td>0.3395</td>\n","      <td>0.0750</td>\n","      <td>0.0209</td>\n","      <td>0.0076</td>\n","      <td>0.6560</td>\n","      <td>0.0497</td>\n","      <td>0.0063</td>\n","      <td>0.0000</td>\n","      <td>0.0000</td>\n","      <td>0.0000</td>\n","      <td>0.0007</td>\n","      <td>0.0104</td>\n","      <td>0.0001</td>\n","    </tr>\n","    <tr>\n","      <th>Money_Market_Rate_US_y</th>\n","      <td>0.2109</td>\n","      <td>0.2151</td>\n","      <td>0.7435</td>\n","      <td>1.0000</td>\n","      <td>0.0000</td>\n","      <td>0.0000</td>\n","      <td>0.0029</td>\n","      <td>0.0405</td>\n","      <td>0.4429</td>\n","      <td>0.0688</td>\n","      <td>0.3786</td>\n","      <td>0.4563</td>\n","      <td>0.4432</td>\n","      <td>0.5687</td>\n","      <td>0.7399</td>\n","      <td>0.0469</td>\n","    </tr>\n","    <tr>\n","      <th>Money_Market_Rate_EU_y</th>\n","      <td>0.0668</td>\n","      <td>0.0459</td>\n","      <td>0.0454</td>\n","      <td>0.0000</td>\n","      <td>1.0000</td>\n","      <td>0.0000</td>\n","      <td>0.0000</td>\n","      <td>0.0270</td>\n","      <td>0.7782</td>\n","      <td>0.2359</td>\n","      <td>0.0037</td>\n","      <td>0.6646</td>\n","      <td>0.0269</td>\n","      <td>0.2635</td>\n","      <td>0.0500</td>\n","      <td>0.0000</td>\n","    </tr>\n","    <tr>\n","      <th>IPI_US_y</th>\n","      <td>0.2804</td>\n","      <td>0.2398</td>\n","      <td>0.1409</td>\n","      <td>0.0000</td>\n","      <td>0.0000</td>\n","      <td>1.0000</td>\n","      <td>0.0000</td>\n","      <td>0.0848</td>\n","      <td>0.5305</td>\n","      <td>0.0162</td>\n","      <td>0.1269</td>\n","      <td>0.0447</td>\n","      <td>0.0096</td>\n","      <td>0.1875</td>\n","      <td>0.1235</td>\n","      <td>0.3132</td>\n","    </tr>\n","    <tr>\n","      <th>IPI_EU_y</th>\n","      <td>0.4871</td>\n","      <td>0.6163</td>\n","      <td>0.2721</td>\n","      <td>0.0657</td>\n","      <td>0.0000</td>\n","      <td>0.0000</td>\n","      <td>1.0000</td>\n","      <td>0.0002</td>\n","      <td>0.1036</td>\n","      <td>0.6190</td>\n","      <td>0.2082</td>\n","      <td>0.4849</td>\n","      <td>0.1625</td>\n","      <td>0.3067</td>\n","      <td>0.0812</td>\n","      <td>0.0236</td>\n","    </tr>\n","    <tr>\n","      <th>M2_US_y</th>\n","      <td>0.5466</td>\n","      <td>0.3683</td>\n","      <td>0.1211</td>\n","      <td>0.0008</td>\n","      <td>0.0015</td>\n","      <td>0.0313</td>\n","      <td>0.0012</td>\n","      <td>1.0000</td>\n","      <td>0.2033</td>\n","      <td>0.6587</td>\n","      <td>0.1792</td>\n","      <td>0.4915</td>\n","      <td>0.5929</td>\n","      <td>0.8446</td>\n","      <td>0.3025</td>\n","      <td>0.0945</td>\n","    </tr>\n","    <tr>\n","      <th>M2_EU_y</th>\n","      <td>0.6745</td>\n","      <td>0.0381</td>\n","      <td>0.0615</td>\n","      <td>0.5214</td>\n","      <td>0.1353</td>\n","      <td>0.3129</td>\n","      <td>0.0592</td>\n","      <td>0.0305</td>\n","      <td>1.0000</td>\n","      <td>0.8910</td>\n","      <td>0.1576</td>\n","      <td>0.2622</td>\n","      <td>0.0620</td>\n","      <td>0.3531</td>\n","      <td>0.0000</td>\n","      <td>0.0000</td>\n","    </tr>\n","    <tr>\n","      <th>Stock Market News_y</th>\n","      <td>0.4728</td>\n","      <td>0.4506</td>\n","      <td>0.1485</td>\n","      <td>0.3492</td>\n","      <td>0.1799</td>\n","      <td>0.1711</td>\n","      <td>0.2039</td>\n","      <td>0.0237</td>\n","      <td>0.2506</td>\n","      <td>1.0000</td>\n","      <td>0.4975</td>\n","      <td>0.3355</td>\n","      <td>0.4087</td>\n","      <td>0.7333</td>\n","      <td>0.0382</td>\n","      <td>0.0214</td>\n","    </tr>\n","    <tr>\n","      <th>Economic Development News_y</th>\n","      <td>0.0070</td>\n","      <td>0.0647</td>\n","      <td>0.0000</td>\n","      <td>0.0241</td>\n","      <td>0.1217</td>\n","      <td>0.1265</td>\n","      <td>0.0794</td>\n","      <td>0.0874</td>\n","      <td>0.1369</td>\n","      <td>0.1356</td>\n","      <td>1.0000</td>\n","      <td>0.0104</td>\n","      <td>0.0003</td>\n","      <td>0.2428</td>\n","      <td>0.0041</td>\n","      <td>0.0591</td>\n","    </tr>\n","    <tr>\n","      <th>FED News_y</th>\n","      <td>0.0000</td>\n","      <td>0.0003</td>\n","      <td>0.0000</td>\n","      <td>0.0919</td>\n","      <td>0.0088</td>\n","      <td>0.0401</td>\n","      <td>0.0868</td>\n","      <td>0.0055</td>\n","      <td>0.2285</td>\n","      <td>0.0637</td>\n","      <td>0.0001</td>\n","      <td>1.0000</td>\n","      <td>0.0000</td>\n","      <td>0.0000</td>\n","      <td>0.0248</td>\n","      <td>0.0273</td>\n","    </tr>\n","    <tr>\n","      <th>Micro Finance News_y</th>\n","      <td>0.0023</td>\n","      <td>0.0007</td>\n","      <td>0.0000</td>\n","      <td>0.0111</td>\n","      <td>0.0222</td>\n","      <td>0.0203</td>\n","      <td>0.0884</td>\n","      <td>0.0010</td>\n","      <td>0.2415</td>\n","      <td>0.2549</td>\n","      <td>0.0256</td>\n","      <td>0.0302</td>\n","      <td>1.0000</td>\n","      <td>0.0293</td>\n","      <td>0.0000</td>\n","      <td>0.0346</td>\n","    </tr>\n","    <tr>\n","      <th>International Trade News_y</th>\n","      <td>0.0000</td>\n","      <td>0.0000</td>\n","      <td>0.0000</td>\n","      <td>0.0008</td>\n","      <td>0.0006</td>\n","      <td>0.0052</td>\n","      <td>0.0866</td>\n","      <td>0.0000</td>\n","      <td>0.0090</td>\n","      <td>0.1748</td>\n","      <td>0.0001</td>\n","      <td>0.0005</td>\n","      <td>0.0000</td>\n","      <td>1.0000</td>\n","      <td>0.0001</td>\n","      <td>0.0158</td>\n","    </tr>\n","    <tr>\n","      <th>EPU_US_y</th>\n","      <td>0.7085</td>\n","      <td>0.0000</td>\n","      <td>0.0000</td>\n","      <td>0.0015</td>\n","      <td>0.0000</td>\n","      <td>0.0746</td>\n","      <td>0.1235</td>\n","      <td>0.0000</td>\n","      <td>0.0000</td>\n","      <td>0.2406</td>\n","      <td>0.0126</td>\n","      <td>0.0628</td>\n","      <td>0.0347</td>\n","      <td>0.0067</td>\n","      <td>1.0000</td>\n","      <td>0.0017</td>\n","    </tr>\n","    <tr>\n","      <th>EPU_EU_y</th>\n","      <td>0.6934</td>\n","      <td>0.0004</td>\n","      <td>0.0000</td>\n","      <td>0.0018</td>\n","      <td>0.0033</td>\n","      <td>0.3722</td>\n","      <td>0.6171</td>\n","      <td>0.0000</td>\n","      <td>0.0000</td>\n","      <td>0.1519</td>\n","      <td>0.0870</td>\n","      <td>0.1288</td>\n","      <td>0.1173</td>\n","      <td>0.1507</td>\n","      <td>0.0049</td>\n","      <td>1.0000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-701010ae-181a-4cd0-b1b4-a61b1f4674b9')\"\n","              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We are not suppose to add 1 to it\n","test = 'ssr_chi2test'\n","def grangers_causation_matrix(data, variables, test='ssr_chi2test', verbose=False):    \n","    \"\"\"Check Granger Causality of all possible combinations of the Time series.\n","    The rows are the response variable, columns are predictors. The values in the table \n","    are the P-Values. P-Values lesser than the significance level (0.05), implies \n","    the Null Hypothesis that the coefficients of the corresponding past values is \n","    zero, that is, the X does not cause Y can be rejected.\n","\n","    data      : pandas dataframe containing the time series variables\n","    variables : list containing names of the time series variables.\n","    \"\"\"\n","    df = pd.DataFrame(np.zeros((len(variables), len(variables))), columns=variables, index=variables)\n","    for c in df.columns:\n","        for r in df.index:\n","            test_result = grangercausalitytests(data[[r, c]], maxlag=maxlag, verbose=False)\n","            p_values = [round(test_result[i+1][0][test][1],4) for i in range(maxlag)]\n","            if verbose: print(f'Y = {r}, X = {c}, P Values = {p_values}')\n","            min_p_value = np.min(p_values)\n","            df.loc[r, c] = min_p_value\n","    df.columns = [var + '_x' for var in variables]\n","    df.index = [var + '_y' for var in variables]\n","    return df\n","grangers_causation_matrix(data, variables = data.columns)  "]},{"cell_type":"code","execution_count":9,"metadata":{"id":"cSnsSZCBiB3I","executionInfo":{"status":"ok","timestamp":1679663957848,"user_tz":-60,"elapsed":122,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["#gc_res = grangercausalitytests(data[[\"EURUSD\", \"Stock Market News\"]],7)\n","#gc_res = grangercausalitytests(data[[\"EURUSD\", \"Economic Development News\"]],7)\n","#gc_res = grangercausalitytests(data[[\"EURUSD\", \"FED News\"]],7)\n","#gc_res = grangercausalitytests(data[[\"EURUSD\", \"Micro Finance News\"]],7)\n","#gc_res = grangercausalitytests(data[[\"EURUSD\", \"International Trade News\"]],7)\n","#gc_res = grangercausalitytests(data[[\"EURUSD\", \"EPU_US\"]],7)\n","#gc_res = grangercausalitytests(data[[\"EURUSD\", \"EPU_EU\"]],7)\n","#data['allnews'] = data['Stock Market News'] + data['Economic Development News'] + data['FED News'] +data['Micro Finance News'] +data['International Trade News'] \n","#gc_res = grangercausalitytests(data[[\"EURUSD\", \"allnews\"]],7)\n","#gc_res\n","#data = data.drop(\"allnews\", axis=1)"]},{"cell_type":"code","execution_count":10,"metadata":{"id":"hoGVw_5jpbir","executionInfo":{"status":"ok","timestamp":1679663957850,"user_tz":-60,"elapsed":117,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["# Take LOGS\n","data['EURUSD'] = np.log(data['EURUSD'])\n","data['CPI_US'] = np.log(data['CPI_US'])\n","data['CPI_EU'] = np.log(data['CPI_EU'])\n","#data['Money_Market_Rate_US'] = np.log(data['Money_Market_Rate_US'])\n","#data['Money_Market_Rate_EU'] = np.log(data['Money_Market_Rate_EU'])\n","data['IPI_US'] = np.log(data['IPI_US'])\n","data['IPI_EU'] = np.log(data['IPI_EU'])\n","#data['M2_US'] = np.log(data['M2_US']) \n","#data['M2_EU'] = np.log(data['M2_EU']) \n","data['Stock Market News'] = np.log(data['Stock Market News'])\n","data['Economic Development News'] = np.log(data['Economic Development News'])\n","data['FED News'] = np.log(data['FED News'])\n","data['Micro Finance News'] = np.log(data['Micro Finance News'])\n","data['International Trade News'] = np.log(data['International Trade News'])\n","data['EPU_US'] = np.log(data['EPU_US'])\n","data['EPU_EU'] = np.log(data['EPU_EU'])"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":727},"id":"dPC0tS23qXn2","executionInfo":{"status":"ok","timestamp":1679663957852,"user_tz":-60,"elapsed":116,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"outputId":"e738a71c-73c1-44d3-aba8-3cd151da5a1a"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["              EURUSD    CPI_US    CPI_EU  Money_Market_Rate_US  \\\n","Date                                                             \n","2000-01-01       NaN       NaN       NaN                   NaN   \n","2000-02-01  0.029754  0.001826  0.003196                  0.06   \n","2000-03-01  0.019614  0.001823  0.003583                  0.10   \n","2000-04-01  0.020323  0.000000  0.001059                  0.11   \n","2000-05-01  0.042150  0.000607  0.001190                  0.45   \n","...              ...       ...       ...                   ...   \n","2017-04-01 -0.002149 -0.001252  0.003829                  0.03   \n","2017-05-01 -0.030879  0.001135 -0.001177                  0.03   \n","2017-06-01 -0.016425  0.003480  0.000294                  0.07   \n","2017-07-01 -0.026096  0.001899 -0.005015                  0.05   \n","2017-08-01 -0.024248  0.002003  0.002658                  0.00   \n","\n","            Money_Market_Rate_EU    IPI_US    IPI_EU  M2_US   M2_EU  \\\n","Date                                                                  \n","2000-01-01                   NaN       NaN       NaN    NaN     NaN   \n","2000-02-01                  0.20  0.002880  0.013493   13.2   0.100   \n","2000-03-01                  0.21  0.003998  0.003088   30.5   0.100   \n","2000-04-01                  0.18  0.007262  0.008188   56.0   0.200   \n","2000-05-01                  0.43  0.001844  0.012158  -12.0   0.300   \n","...                          ...       ...       ...    ...     ...   \n","2017-04-01                  0.00  0.010821  0.000931   52.3  20.570   \n","2017-05-01                  0.00 -0.000316  0.013857   65.1  25.396   \n","2017-06-01                  0.00  0.002219 -0.004598   26.2  57.239   \n","2017-07-01                  0.00 -0.001361 -0.002769   76.4  17.400   \n","2017-08-01                  0.00 -0.007291  0.016499   44.0  88.316   \n","\n","            Stock Market News  Economic Development News  FED News  \\\n","Date                                                                 \n","2000-01-01                NaN                        NaN       NaN   \n","2000-02-01           0.004850                  -0.016937 -0.003431   \n","2000-03-01           0.010032                  -0.010264 -0.001292   \n","2000-04-01          -0.008960                   0.019750 -0.002368   \n","2000-05-01          -0.009041                   0.019368 -0.002373   \n","...                       ...                        ...       ...   \n","2017-04-01           0.002005                  -0.006553 -0.003000   \n","2017-05-01           0.000518                  -0.022231 -0.018553   \n","2017-06-01           0.001780                   0.029919  0.033112   \n","2017-07-01          -0.000847                  -0.002352 -0.007995   \n","2017-08-01          -0.003318                  -0.009024 -0.009132   \n","\n","            Micro Finance News  International Trade News    EPU_US    EPU_EU  \n","Date                                                                          \n","2000-01-01                 NaN                       NaN       NaN       NaN  \n","2000-02-01            0.011022                  0.000489 -0.543803  0.339649  \n","2000-03-01           -0.019641                  0.018035 -0.621220  0.033381  \n","2000-04-01            0.004221                 -0.010737  0.454406 -0.038295  \n","2000-05-01            0.004203                 -0.010853  0.675874  0.146276  \n","...                        ...                       ...       ...       ...  \n","2017-04-01            0.001977                  0.011571  0.750910 -0.069177  \n","2017-05-01            0.024800                 -0.022444 -0.369826 -0.232139  \n","2017-06-01           -0.036240                  0.010546  0.185622  0.328359  \n","2017-07-01            0.014035                 -0.000650  0.012530 -0.413763  \n","2017-08-01            0.016215                 -0.009463 -0.113282 -0.192097  \n","\n","[212 rows x 16 columns]"],"text/html":["\n","  <div id=\"df-c0bced42-5dc7-4af8-a125-7968aff809b4\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>EURUSD</th>\n","      <th>CPI_US</th>\n","      <th>CPI_EU</th>\n","      <th>Money_Market_Rate_US</th>\n","      <th>Money_Market_Rate_EU</th>\n","      <th>IPI_US</th>\n","      <th>IPI_EU</th>\n","      <th>M2_US</th>\n","      <th>M2_EU</th>\n","      <th>Stock Market News</th>\n","      <th>Economic Development News</th>\n","      <th>FED News</th>\n","      <th>Micro Finance News</th>\n","      <th>International Trade News</th>\n","      <th>EPU_US</th>\n","      <th>EPU_EU</th>\n","    </tr>\n","    <tr>\n","      <th>Date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2000-01-01</th>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2000-02-01</th>\n","      <td>0.029754</td>\n","      <td>0.001826</td>\n","      <td>0.003196</td>\n","      <td>0.06</td>\n","      <td>0.20</td>\n","      <td>0.002880</td>\n","      <td>0.013493</td>\n","      <td>13.2</td>\n","      <td>0.100</td>\n","      <td>0.004850</td>\n","      <td>-0.016937</td>\n","      <td>-0.003431</td>\n","      <td>0.011022</td>\n","      <td>0.000489</td>\n","      <td>-0.543803</td>\n","      <td>0.339649</td>\n","    </tr>\n","    <tr>\n","      <th>2000-03-01</th>\n","      <td>0.019614</td>\n","      <td>0.001823</td>\n","      <td>0.003583</td>\n","      <td>0.10</td>\n","      <td>0.21</td>\n","      <td>0.003998</td>\n","      <td>0.003088</td>\n","      <td>30.5</td>\n","      <td>0.100</td>\n","      <td>0.010032</td>\n","      <td>-0.010264</td>\n","      <td>-0.001292</td>\n","      <td>-0.019641</td>\n","      <td>0.018035</td>\n","      <td>-0.621220</td>\n","      <td>0.033381</td>\n","    </tr>\n","    <tr>\n","      <th>2000-04-01</th>\n","      <td>0.020323</td>\n","      <td>0.000000</td>\n","      <td>0.001059</td>\n","      <td>0.11</td>\n","      <td>0.18</td>\n","      <td>0.007262</td>\n","      <td>0.008188</td>\n","      <td>56.0</td>\n","      <td>0.200</td>\n","      <td>-0.008960</td>\n","      <td>0.019750</td>\n","      <td>-0.002368</td>\n","      <td>0.004221</td>\n","      <td>-0.010737</td>\n","      <td>0.454406</td>\n","      <td>-0.038295</td>\n","    </tr>\n","    <tr>\n","      <th>2000-05-01</th>\n","      <td>0.042150</td>\n","      <td>0.000607</td>\n","      <td>0.001190</td>\n","      <td>0.45</td>\n","      <td>0.43</td>\n","      <td>0.001844</td>\n","      <td>0.012158</td>\n","      <td>-12.0</td>\n","      <td>0.300</td>\n","      <td>-0.009041</td>\n","      <td>0.019368</td>\n","      <td>-0.002373</td>\n","      <td>0.004203</td>\n","      <td>-0.010853</td>\n","      <td>0.675874</td>\n","      <td>0.146276</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>2017-04-01</th>\n","      <td>-0.002149</td>\n","      <td>-0.001252</td>\n","      <td>0.003829</td>\n","      <td>0.03</td>\n","      <td>0.00</td>\n","      <td>0.010821</td>\n","      <td>0.000931</td>\n","      <td>52.3</td>\n","      <td>20.570</td>\n","      <td>0.002005</td>\n","      <td>-0.006553</td>\n","      <td>-0.003000</td>\n","      <td>0.001977</td>\n","      <td>0.011571</td>\n","      <td>0.750910</td>\n","      <td>-0.069177</td>\n","    </tr>\n","    <tr>\n","      <th>2017-05-01</th>\n","      <td>-0.030879</td>\n","      <td>0.001135</td>\n","      <td>-0.001177</td>\n","      <td>0.03</td>\n","      <td>0.00</td>\n","      <td>-0.000316</td>\n","      <td>0.013857</td>\n","      <td>65.1</td>\n","      <td>25.396</td>\n","      <td>0.000518</td>\n","      <td>-0.022231</td>\n","      <td>-0.018553</td>\n","      <td>0.024800</td>\n","      <td>-0.022444</td>\n","      <td>-0.369826</td>\n","      <td>-0.232139</td>\n","    </tr>\n","    <tr>\n","      <th>2017-06-01</th>\n","      <td>-0.016425</td>\n","      <td>0.003480</td>\n","      <td>0.000294</td>\n","      <td>0.07</td>\n","      <td>0.00</td>\n","      <td>0.002219</td>\n","      <td>-0.004598</td>\n","      <td>26.2</td>\n","      <td>57.239</td>\n","      <td>0.001780</td>\n","      <td>0.029919</td>\n","      <td>0.033112</td>\n","      <td>-0.036240</td>\n","      <td>0.010546</td>\n","      <td>0.185622</td>\n","      <td>0.328359</td>\n","    </tr>\n","    <tr>\n","      <th>2017-07-01</th>\n","      <td>-0.026096</td>\n","      <td>0.001899</td>\n","      <td>-0.005015</td>\n","      <td>0.05</td>\n","      <td>0.00</td>\n","      <td>-0.001361</td>\n","      <td>-0.002769</td>\n","      <td>76.4</td>\n","      <td>17.400</td>\n","      <td>-0.000847</td>\n","      <td>-0.002352</td>\n","      <td>-0.007995</td>\n","      <td>0.014035</td>\n","      <td>-0.000650</td>\n","      <td>0.012530</td>\n","      <td>-0.413763</td>\n","    </tr>\n","    <tr>\n","      <th>2017-08-01</th>\n","      <td>-0.024248</td>\n","      <td>0.002003</td>\n","      <td>0.002658</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>-0.007291</td>\n","      <td>0.016499</td>\n","      <td>44.0</td>\n","      <td>88.316</td>\n","      <td>-0.003318</td>\n","      <td>-0.009024</td>\n","      <td>-0.009132</td>\n","      <td>0.016215</td>\n","      <td>-0.009463</td>\n","      <td>-0.113282</td>\n","      <td>-0.192097</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>212 rows × 16 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c0bced42-5dc7-4af8-a125-7968aff809b4')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 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2020","userId":"05957751820960799131"}},"outputId":"8366593a-1431-42fb-b624-0ad4fc556673"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["              EURUSD    CPI_US    CPI_EU  Money_Market_Rate_US  \\\n","Date                                                             \n","2000-02-01  0.029754  0.001826  0.003196                  0.06   \n","2000-03-01  0.019614  0.001823  0.003583                  0.10   \n","2000-04-01  0.020323  0.000000  0.001059                  0.11   \n","2000-05-01  0.042150  0.000607  0.001190                  0.45   \n","2000-06-01 -0.048059  0.006653  0.003431                  0.03   \n","...              ...       ...       ...                   ...   \n","2017-04-01 -0.002149 -0.001252  0.003829                  0.03   \n","2017-05-01 -0.030879  0.001135 -0.001177                  0.03   \n","2017-06-01 -0.016425  0.003480  0.000294                  0.07   \n","2017-07-01 -0.026096  0.001899 -0.005015                  0.05   \n","2017-08-01 -0.024248  0.002003  0.002658                  0.00   \n","\n","            Money_Market_Rate_EU    IPI_US    IPI_EU  M2_US   M2_EU  \\\n","Date                                                                  \n","2000-02-01                  0.20  0.002880  0.013493   13.2   0.100   \n","2000-03-01                  0.21  0.003998  0.003088   30.5   0.100   \n","2000-04-01                  0.18  0.007262  0.008188   56.0   0.200   \n","2000-05-01                  0.43  0.001844  0.012158  -12.0   0.300   \n","2000-06-01                  0.14  0.000912 -0.009105   17.9   0.800   \n","...                          ...       ...       ...    ...     ...   \n","2017-04-01                  0.00  0.010821  0.000931   52.3  20.570   \n","2017-05-01                  0.00 -0.000316  0.013857   65.1  25.396   \n","2017-06-01                  0.00  0.002219 -0.004598   26.2  57.239   \n","2017-07-01                  0.00 -0.001361 -0.002769   76.4  17.400   \n","2017-08-01                  0.00 -0.007291  0.016499   44.0  88.316   \n","\n","            Stock Market News  Economic Development News  FED News  \\\n","Date                                                                 \n","2000-02-01           0.004850                  -0.016937 -0.003431   \n","2000-03-01           0.010032                  -0.010264 -0.001292   \n","2000-04-01          -0.008960                   0.019750 -0.002368   \n","2000-05-01          -0.009041                   0.019368 -0.002373   \n","2000-06-01          -0.002734                  -0.035576  0.013077   \n","...                       ...                        ...       ...   \n","2017-04-01           0.002005                  -0.006553 -0.003000   \n","2017-05-01           0.000518                  -0.022231 -0.018553   \n","2017-06-01           0.001780                   0.029919  0.033112   \n","2017-07-01          -0.000847                  -0.002352 -0.007995   \n","2017-08-01          -0.003318                  -0.009024 -0.009132   \n","\n","            Micro Finance News  International Trade News    EPU_US    EPU_EU  \n","Date                                                                          \n","2000-02-01            0.011022                  0.000489 -0.543803  0.339649  \n","2000-03-01           -0.019641                  0.018035 -0.621220  0.033381  \n","2000-04-01            0.004221                 -0.010737  0.454406 -0.038295  \n","2000-05-01            0.004203                 -0.010853  0.675874  0.146276  \n","2000-06-01            0.011326                  0.018424 -0.003626 -0.337485  \n","...                        ...                       ...       ...       ...  \n","2017-04-01            0.001977                  0.011571  0.750910 -0.069177  \n","2017-05-01            0.024800                 -0.022444 -0.369826 -0.232139  \n","2017-06-01           -0.036240                  0.010546  0.185622  0.328359  \n","2017-07-01            0.014035                 -0.000650  0.012530 -0.413763  \n","2017-08-01            0.016215                 -0.009463 -0.113282 -0.192097  \n","\n","[211 rows x 16 columns]"],"text/html":["\n","  <div id=\"df-ae99cc74-b381-4b4e-9d78-4c6d01629732\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>EURUSD</th>\n","      <th>CPI_US</th>\n","      <th>CPI_EU</th>\n","      <th>Money_Market_Rate_US</th>\n","      <th>Money_Market_Rate_EU</th>\n","      <th>IPI_US</th>\n","      <th>IPI_EU</th>\n","      <th>M2_US</th>\n","      <th>M2_EU</th>\n","      <th>Stock Market News</th>\n","      <th>Economic Development News</th>\n","      <th>FED News</th>\n","      <th>Micro Finance News</th>\n","      <th>International Trade News</th>\n","      <th>EPU_US</th>\n","      <th>EPU_EU</th>\n","    </tr>\n","    <tr>\n","      <th>Date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2000-02-01</th>\n","      <td>0.029754</td>\n","      <td>0.001826</td>\n","      <td>0.003196</td>\n","      <td>0.06</td>\n","      <td>0.20</td>\n","      <td>0.002880</td>\n","      <td>0.013493</td>\n","      <td>13.2</td>\n","      <td>0.100</td>\n","      <td>0.004850</td>\n","      <td>-0.016937</td>\n","      <td>-0.003431</td>\n","      <td>0.011022</td>\n","      <td>0.000489</td>\n","      <td>-0.543803</td>\n","      <td>0.339649</td>\n","    </tr>\n","    <tr>\n","      <th>2000-03-01</th>\n","      <td>0.019614</td>\n","      <td>0.001823</td>\n","      <td>0.003583</td>\n","      <td>0.10</td>\n","      <td>0.21</td>\n","      <td>0.003998</td>\n","      <td>0.003088</td>\n","      <td>30.5</td>\n","      <td>0.100</td>\n","      <td>0.010032</td>\n","      <td>-0.010264</td>\n","      <td>-0.001292</td>\n","      <td>-0.019641</td>\n","      <td>0.018035</td>\n","      <td>-0.621220</td>\n","      <td>0.033381</td>\n","    </tr>\n","    <tr>\n","      <th>2000-04-01</th>\n","      <td>0.020323</td>\n","      <td>0.000000</td>\n","      <td>0.001059</td>\n","      <td>0.11</td>\n","      <td>0.18</td>\n","      <td>0.007262</td>\n","      <td>0.008188</td>\n","      <td>56.0</td>\n","      <td>0.200</td>\n","      <td>-0.008960</td>\n","      <td>0.019750</td>\n","      <td>-0.002368</td>\n","      <td>0.004221</td>\n","      <td>-0.010737</td>\n","      <td>0.454406</td>\n","      <td>-0.038295</td>\n","    </tr>\n","    <tr>\n","      <th>2000-05-01</th>\n","      <td>0.042150</td>\n","      <td>0.000607</td>\n","      <td>0.001190</td>\n","      <td>0.45</td>\n","      <td>0.43</td>\n","      <td>0.001844</td>\n","      <td>0.012158</td>\n","      <td>-12.0</td>\n","      <td>0.300</td>\n","      <td>-0.009041</td>\n","      <td>0.019368</td>\n","      <td>-0.002373</td>\n","      <td>0.004203</td>\n","      <td>-0.010853</td>\n","      <td>0.675874</td>\n","      <td>0.146276</td>\n","    </tr>\n","    <tr>\n","      <th>2000-06-01</th>\n","      <td>-0.048059</td>\n","      <td>0.006653</td>\n","      <td>0.003431</td>\n","      <td>0.03</td>\n","      <td>0.14</td>\n","      <td>0.000912</td>\n","      <td>-0.009105</td>\n","      <td>17.9</td>\n","      <td>0.800</td>\n","      <td>-0.002734</td>\n","      <td>-0.035576</td>\n","      <td>0.013077</td>\n","      <td>0.011326</td>\n","      <td>0.018424</td>\n","      <td>-0.003626</td>\n","      <td>-0.337485</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>2017-04-01</th>\n","      <td>-0.002149</td>\n","      <td>-0.001252</td>\n","      <td>0.003829</td>\n","      <td>0.03</td>\n","      <td>0.00</td>\n","      <td>0.010821</td>\n","      <td>0.000931</td>\n","      <td>52.3</td>\n","      <td>20.570</td>\n","      <td>0.002005</td>\n","      <td>-0.006553</td>\n","      <td>-0.003000</td>\n","      <td>0.001977</td>\n","      <td>0.011571</td>\n","      <td>0.750910</td>\n","      <td>-0.069177</td>\n","    </tr>\n","    <tr>\n","      <th>2017-05-01</th>\n","      <td>-0.030879</td>\n","      <td>0.001135</td>\n","      <td>-0.001177</td>\n","      <td>0.03</td>\n","      <td>0.00</td>\n","      <td>-0.000316</td>\n","      <td>0.013857</td>\n","      <td>65.1</td>\n","      <td>25.396</td>\n","      <td>0.000518</td>\n","      <td>-0.022231</td>\n","      <td>-0.018553</td>\n","      <td>0.024800</td>\n","      <td>-0.022444</td>\n","      <td>-0.369826</td>\n","      <td>-0.232139</td>\n","    </tr>\n","    <tr>\n","      <th>2017-06-01</th>\n","      <td>-0.016425</td>\n","      <td>0.003480</td>\n","      <td>0.000294</td>\n","      <td>0.07</td>\n","      <td>0.00</td>\n","      <td>0.002219</td>\n","      <td>-0.004598</td>\n","      <td>26.2</td>\n","      <td>57.239</td>\n","      <td>0.001780</td>\n","      <td>0.029919</td>\n","      <td>0.033112</td>\n","      <td>-0.036240</td>\n","      <td>0.010546</td>\n","      <td>0.185622</td>\n","      <td>0.328359</td>\n","    </tr>\n","    <tr>\n","      <th>2017-07-01</th>\n","      <td>-0.026096</td>\n","      <td>0.001899</td>\n","      <td>-0.005015</td>\n","      <td>0.05</td>\n","      <td>0.00</td>\n","      <td>-0.001361</td>\n","      <td>-0.002769</td>\n","      <td>76.4</td>\n","      <td>17.400</td>\n","      <td>-0.000847</td>\n","      <td>-0.002352</td>\n","      <td>-0.007995</td>\n","      <td>0.014035</td>\n","      <td>-0.000650</td>\n","      <td>0.012530</td>\n","      <td>-0.413763</td>\n","    </tr>\n","    <tr>\n","      <th>2017-08-01</th>\n","      <td>-0.024248</td>\n","      <td>0.002003</td>\n","      <td>0.002658</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>-0.007291</td>\n","      <td>0.016499</td>\n","      <td>44.0</td>\n","      <td>88.316</td>\n","      <td>-0.003318</td>\n","      <td>-0.009024</td>\n","      <td>-0.009132</td>\n","      <td>0.016215</td>\n","      <td>-0.009463</td>\n","      <td>-0.113282</td>\n","      <td>-0.192097</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>211 rows × 16 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ae99cc74-b381-4b4e-9d78-4c6d01629732')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 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2020","userId":"05957751820960799131"}},"outputId":"e98c4372-ab05-4d58-ef83-b11402023fd9"},"outputs":[{"output_type":"stream","name":"stdout","text":["EURUSD\n","6.318618416402879e-19\n","CPI_US\n","7.995331466636121e-17\n","CPI_EU\n","0.08211659718231268\n","Money_Market_Rate_US\n","0.063601831159629\n","Money_Market_Rate_EU\n","0.0011798201697778288\n","IPI_US\n","0.0022233551504818334\n","IPI_EU\n","9.991495106796584e-05\n","M2_US\n","5.687040440485971e-06\n","M2_EU\n","6.3888056487414856e-27\n","Stock Market News\n","5.331156405847789e-23\n","Economic Development News\n","3.2419339599902007e-10\n","FED News\n","8.254529559406786e-05\n","Micro Finance News\n","0.0005072156997348347\n","International Trade News\n","9.177104729825358e-06\n","EPU_US\n","3.8633231894524794e-12\n","EPU_EU\n","3.009519775142184e-21\n"]}],"source":["# Check if time series are normal after first differencing\n","from statsmodels.tsa.stattools import adfuller\n","for column in data:\n","  print(column)\n","  print(adfuller(data[column])[1])\n","  #P value is always <0.1-> stationary"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":440},"id":"poqfIDHGRhI3","executionInfo":{"status":"ok","timestamp":1679663958430,"user_tz":-60,"elapsed":82,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"outputId":"dc674c1c-af6c-4f7d-b8b0-cbf04dc15e03"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["<Axes: >"]},"metadata":{},"execution_count":14},{"output_type":"display_data","data":{"text/plain":["<Figure size 2520x720 with 1 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/q7MPhJjbu88/7czEd+N3bq/XWrs0w2fvuAwHoPX8coagdebgwO+Nw7/SWvv4eP9hSdaPj/9Lkv+dYT7O1av/jE+0oefULUk+k63fjXU1XErnsrE99531nL8d/87+Lj0yyRtn6jWuU342w764C8bPwX/Jtg+me22S4+u2vRP0lkH/N0NYeuckhyX56wyfqZnv2vcy/B4/t6r+nyQ/2MbrLkRvPs32oAzruo+MbT0+wzJ9xtx133zz8S4ZvjeXZ9ievW+278EZ3n+S/GVuu9z8n621LW04wPTQcVgl+YMxx/hfGU4KODQ77m/GA2W21e5HZOv679JsPQlxe/Nqrr19ObxUFrJd/B+y+H0k85n3YE52id1R5yfNeY2FnES0V9vV16lgft9Jcki2dmd211n3k+FosVNquDbn+6vqvHEFP/O8JMMZfrOfN/5AfW+S91bVv2T4MTpft2t3zrCC/cISvie2717jyr0leU9r7b1VtWo7z5nvQIpkODL9lnGF/YAMG4KvqaqjWmsvWaoGs1N2ps7J8CN09tG6qareRmDvc7HXaK1dOs6X+X4APizJb4zjfaCqfmTcgE2SvxuXdTdW1TczbKzP/mGUDEc+f7O1trmGM4p/raquTHKH1to2NxK20667ZDgT5N4ZanCHWY9dMGfn4REZjqY/tg1dZ67O1h+AyXB0/je21ZZ5vL2GM1YOyhCWJlt/wDwiwwFVvR8ws38gZJzGvTMcjThXd7mTJK2136+qt4/Te0qGebW212i13qNrnYw7RuYZvr0DAFcK6+ZpsG5egbazHE+S1NAt8gm57Q7B201qW8N3dL3H0lrCOifWeds07szelGTTGHwcn+EM3sW6LMP2zD0y9JjXc36Gricvbq19f9yOSg1nlT8vyQNaa9dW1Vsz9Og347o50/lohgDnj8ZwuTKc4fq+2SNV1doFtv8PkrwrQ8iUDDvhv9v5LH0ww5l0P57hwMzfy7C8+FCStNbOrqq/y3At249U1aPHYHypzD5o4ZZsf5/fTa21mc/6lpnnt9a21BJd17aGM45/LsmVGc5Ofltr7YXzjLohyW9mOLj13a21VsOHoDf+Qsz9Hs/+f2Zebclt59uWDPOtkryitfbGOe9nVW4/nxe887i19sVxm+Q3Z092vtcaX+/LGS4h9dEMAdK6DGeTXTnOo1/IcCDyyeM09+hrBVfVT2WYZ9/cxmh703duuZ2X5FUZ3vOP7OBz5y47l8LtlkHjQXGvT7KmtfbVqnpJbrsMv3H2+NuYdiX5XGvtwQtpSGvtu1X11xl695g9jd4y5aMZDs7/fIbPzzMyBMzPba3dXFUPzPD77glJTslwcMDOWsiyujLseziuM4259ZtvPr4sycbW2q+Py65NO9Xa27/GTPuS4SSHH01yVGvtpqq6Oret70LNfj872u7tzavbmPpyeJbednEy7JO6PsnVSU4dh+3o9vK29ptsrqGnmYdnmJ/vqKoXtNbeut1Ws6N2dZ2TMcucPaCqtvkbe2/nTPXlsSljNyPjD4z/mGTj3JFaaxdnOCrstFnPm+kGLBkW6DPXWbl/Dd16par2yXAU/1fmTrOGIzxfn+HosoUeVczCfS5j9zPzmDmT8Bd3YOf6bQ6kGN16MEUbfKK19ooMR/Vv85pmLJmlrnPPNuu/Asz8AFy/vRFnme/Hx8wPo5kjpn921rz/8wzLyqdn4d0w9do1s2G/OsNRfNvamfeNDEcyz3Q9OPMDcKaNP9daO3aB7Znx1AxnZrwtw5nQM8NmfsDcL8MZsvP9gJn5gTDz+j/dWju38zrb/dy11v6ptfZnGX5U/kINZ5Rsi1rvmN1V622Z+zlYScue2aybp8G6eeXqrl9q6B76z5M8rrX2nW1MY1es91haS1HnbZnKOq+rhuuszj57+37Zuj/hX5PMnOn3iQzdr99t3JdxXIbg6+NJHjEG4DMnAMz4dJJnJjlvZp/FfFprP0hyem7fne8PZ9j++l5VHZrhrPdtOTfDARjvHIPh9yX5TzX2aFRVP1NVB855X11jAHdFhm3CWy+nV1VPHKdX4w71ZJg/D0myZQz0PzO+9w+O496rtXZZa+2cDGfS3mcbL/35JHevqgeMz73z+H4+lLEL9Kr6mSSHj+P29Gq2My7IrICqquYuO29jnOevyHDG+KUZTvp4QlX92Pj4XWcdrPbuDL0+HZchYM92xp/xoSSPr6ofGuv66+OwZLiW+0wA95QMXf4u1PuSPKO2XsP4J2basQ0L+kxl+Iw/b9b/23qtD43jfnC8f3KGnr5aDV0e79Na+x8Zztq9/8Le2vKo4TIRb8jQFXh3p/oyfuf2Rm9J8tK27QPKL8xw4EFquHTaXeYZ50MZ9jfvO9bpERnm7VKY+c367fEz/oQFPOeCJM+cObhnXKd8PsmPznyna+jJbntnXr86w+dhJmTe1jJl9nft0xmCvhtba98b232X1trfJ3lOhm7yd4XZy5CPJ3loVf302NYDx2X+jrhLkq+P95/WeZ25PprhN2yytWv87b3GN8dAfV22fYb4QvXa/cGMvVjUcDLDzKVgdmZeTXI5vANmelh8fGtt5lKnO7q9PN9vrDtnuGzKTM8Zm1prZ2Y4UMV+k91vKercs6L3mwjVd6253SvMXG/kZUl+uqo+m2FFfVXG7kvmcU6Sp1fVnVtr52dYeF8yHlH10Aw/OpPhiN//r4auUS5NcnOSP5k1nY3jY5/I0DXtM5fsXTLbB5LsX1UnzQwYd/QctpPT+2SGDYN/N05rTZL9M1xv7seravbK+n6Z50AKdomlrvO82tB93Teq6pfH17hrhu6gd2RnwJ6s9wNw9o6itRmus7OtLpS6P4xaaxdlqMtTsvBAt9eu3ob9fL6b4fqfrxjfw7Z+AC5050vGnQ8vTvKgqrpP+j9g5k5zwTuFtve5q6p/X3XrNbLunSHw/u52mq7Wgz2q1tuxKQs4AHCirJsnbALr5r3NvMvxqjo8QzeYv9Va22bvXLtovcfSWnSdt2NTrPMOytBLzxU1dOF6ZJKXjI+9Kck/VNXG1to3Mlx6ZmOGS55c0lp7Txu6zT4pyd+O+zlu0y1ta+3DGXZI/924A3perbUNrbVPzRk2s9/kHzN0SfuR+Z475zmvHp/zlxkOurgiyafGfSJvzBCwXJrklqr6bFU9ZzuTPCu37Wb4qUlOGN/r5zKEwTO9B341ww7+ZNjWvXO2dqn57Kq6fJzHN2XrJQtut++oDde9fVKS142vc0GGcOr1SfapoTeBdyR5WttGt/q9mm3n/fa8PMkh43v4bIbQaT5vH9/j5Rmu2z4zf67IEDq8f3z8gozdeLfhpI8rk/xka+0T2xt/1vv7VIYeFT6RodvwP2+tzfTY9Pkkz6qhJ6tDMnaBvRCttfdn+Lx9bJzX78r2t+PfmuQNtZ2uT1trn8vQvfBCXutDGd7zx9rQLfcN2Rpy/USGniU+k2Gf4s6e0b8U5l4yZyY4nflsfy5D19Dvz3jd+u3Y1d+5FaENXYi/djujnZah947LMnRlfeQ847w7wzLxsxn2dz2/DT2mLkUbv5vkzRmWB+/L1q75t+XPM+y7vnSs+VPGZeITkpwzDvtMhgMqtvXa387w3vYf/9/WMuVDGfYnfLANPbd8NVu37++c5PzxOR9O/3rdizV7ffutDPsi1o+v+7Hs+EEhr8ywn+LTue3Z8BuTHFnzdwV9aoYc4tIM20anZdvenmTN+Pn67Qzr6sXqtfvPMnTTf2WS3894Wc6dmVcrdDm8q23Kjm0vfzDJY2u8BEMNl074bBt699vWwZwsr01Zmt9FX0zy4zVcxnOmx79fyLDs3vu11tzc3JbwlqHbqXcm+acMG/t/l2EH3OXzjLtqvuFzxnlchhX9ZzJsvN1/HP6TGTZ2/3F87IIk91ru9z+V21LWOUNXXd8b6zhze8L42JEZVl4zw5+63O99Cebd5s48OH+8f9cM15G+NMOP458fh78kyfNmPefyJKvG+08a58+lGTasHzRrvBck2bAE7XpwhstmfDrDDqWrx+FPy3C0/XzPOXz8fBydYSPxgxl+qH4uyYnjOL+RYYfPZ5LcqdO2TRm6S5v5/7kZzsK5W4YfDJdlODv7ylnz5K/HefSH4/+njeNdNj6nu7zY1ucuw5kjXxiHX5zk0Wq9V9f6ltx22XP2OPwu43Q/O87rV2Y4AnvZlyGLvc3UP51lc2/4nHGsm/fw22LrnImtm/e2W7a/HP/zJNfOqtHF25nekqz33Pb4Ok9unefmNtXbQrbn3Nzc3NzcpnrbxnbxpszaJzVr/B3eXs5wUufMQTDvT/JT4/CjMvSKcMU4rb9Ncrflnicr8bar65xhP+m35rzGQ8bHHpphX+9nMhxQ9ajlnh9LdavxDQLAilRV5yd5TWvtwuVuC7uWWgMAADVch/f8NlzOCQAAloTu3wFYkarq4Kr6QpLrhawrm1oDAAAzWmtXC9QBAFhqzlSHPUBVPTrJOXMGf7m19uvL0R52DXVeflX1Ixmuyz3XMa217+zu9sxVVe9Ocs85g09vrb1vF7zWHj0vFmtPf39qveezzJ4GdZ4Oy8JpUGcAANg9qurpGS5BONtHWmvPWo72sGuo820J1QEAAAAAAACgQ/fvAAAAAAAAANAhVAcAAAAAAACADqE6AAAAAAAAAHQI1QEAAAAAAACg4/8HAG4dqX+GR00AAAAASUVORK5CYII=\n"},"metadata":{"needs_background":"light"}}],"source":["plt.figure(figsize=(35,10))\n","boxplot = data.boxplot(column=[\"EURUSD\", \"CPI_US\", \"CPI_EU\", \"Money_Market_Rate_US\", \"Money_Market_Rate_EU\", \"IPI_US\", \"IPI_EU\", \"M2_US\", \"M2_EU\", \"Stock Market News\", \"Economic Development News\", \"FED News\", \"Micro Finance News\", \"International Trade News\", \"EPU_US\", \"EPU_EU\"])  \n","#plt.boxplot(data[\"EURUSD\"])\n","#plt.show()\n","boxplot"]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"1Jjo5-l6JZ0B","executionInfo":{"status":"ok","timestamp":1679663958432,"user_tz":-60,"elapsed":70,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"outputId":"0c83caaa-0853-4138-a676-0f723c9da265"},"outputs":[{"output_type":"stream","name":"stdout","text":["EURUSD                        2\n","CPI_US                       12\n","CPI_EU                       14\n","Money_Market_Rate_US         41\n","Money_Market_Rate_EU         32\n","IPI_US                        7\n","IPI_EU                        7\n","M2_US                        10\n","M2_EU                        15\n","Stock Market News            18\n","Economic Development News     2\n","FED News                      1\n","Micro Finance News            1\n","International Trade News      2\n","EPU_US                        1\n","EPU_EU                        7\n","dtype: int64\n"]},{"output_type":"stream","name":"stderr","text":["<ipython-input-15-6cc41ab41369>:11: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column] = data[column].mask(data[column] < q1 - 1.5 * IQR)\n","<ipython-input-15-6cc41ab41369>:12: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column] = data[column].mask(data[column] > q3 + 1.5 * IQR)\n"]}],"source":["# Detect outliers and replace by nan\n","outliers = []\n","def detect_outliers_iqr(data):\n","  for column in data:\n","    q1 = data[column].quantile(0.25)\n","    q3 = data[column].quantile(0.75)\n","    #print(q1, q3)\n","    IQR = q3-q1\n","    lwr_bound = q1-(1.5*IQR)\n","    upr_bound = q3+(1.5*IQR)\n","    data[column] = data[column].mask(data[column] < q1 - 1.5 * IQR)\n","    data[column] = data[column].mask(data[column] > q3 + 1.5 * IQR)\n","detect_outliers_iqr(data)\n","#print(data)\n","print(data.isnull().sum()) # print how many outliers we have\n"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4Eur5-9zU0ig","executionInfo":{"status":"ok","timestamp":1679663958434,"user_tz":-60,"elapsed":62,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"outputId":"6bf4c50b-32d3-4cf1-89ba-47c1907954bb"},"outputs":[{"output_type":"stream","name":"stdout","text":["EURUSD                       0\n","CPI_US                       0\n","CPI_EU                       0\n","Money_Market_Rate_US         0\n","Money_Market_Rate_EU         0\n","IPI_US                       0\n","IPI_EU                       0\n","M2_US                        0\n","M2_EU                        0\n","Stock Market News            0\n","Economic Development News    0\n","FED News                     0\n","Micro Finance News           0\n","International Trade News     0\n","EPU_US                       0\n","EPU_EU                       0\n","dtype: int64\n"]},{"output_type":"stream","name":"stderr","text":["<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n","<ipython-input-16-8098aac803b4>:6: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  data[column].fillna(median, inplace=True)\n"]}],"source":["# Impute Outliers\n","for column in data:\n","  #mean = data[column].mean()\n","  #data[column].fillna(mean, inplace=True)\n","  median = data[column].median()\n","  data[column].fillna(median, inplace=True) \n","  #print(mean)\n","print(data.isnull().sum()) 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gDIorw9Wn758+UlWtX2D7fzfJOzIERslwQP1bc3yOPpjhKrcfyHCi5cszrCs+lCSttfOq6r0Z7gP74ao6fQy5l9P0ExF2Ze/H8G5vrU191r839frW2vdqme4LW8MVwQ9PsiPD1cMXt9Z+e5ZRL0nyzAwnrL6rtdZq+CDMNf5CzPweT/97all9L3sut+9lWG6V5DWttTfPeD/H567LecEHg1trnx73S545fbKzzWuc3+cy3LbpqgyB0IYMV3vtGJfRIzKcXPz8cZoH9L12q+qHMyyzr84z2mr73k3SpUl+P8N7vs8+vnbm+nM53GUdNJ7k9sYk61prX6yqV2XP9fht08efZ9qV5JOttZ9YSENaa9+qqv+eofeN6dOYa51yVYYT7j+V4fPzaxkC45e21u6oqsdk+I33jCS/mSHsX6yFrKsrw/GHjXNMY2b9ZluO/yHJttbaz4/rru2Lau1d5zHVvmS4cOF+SU5urd1eVZ/PnvVdqOnvZ1/bvbdltYfe18PTzLVfnAzHpb6T5PNJzhqH7ev+8nzHTnbW0BPM4zMsz7dV1TmttbfstdXsq5WuczLmmdMHVNW8v7FXO1eSL932jF16jD8W/mWSbTNHaq1dneGMrRdOe91Ul1vJsHKeukfJo2roQitVdUiGM+y/MHOaNZx9+cYMZ34t9IxfFu6TGbt6mcXUlX4/tg8Hy/c4MWK0++SINvhYa+01Gc66n/d+YCyr5a71XOb9DBwEpn7Qbd3biNPM9mNi6ofO1BnND5227P8kw/ryuVl4t0dztWtqR31thrPs5jtA9+UMZxpPdfU39YNuqo0Pb609cYHtmfLsDFdOXJzhauWpYVM/SB6Z4SrW2X6QTO3wT83/wa21LXPMZ6+fu9ba37bW3pThR+IjarjiYy7qvG/2V53nM/MzcDCtd6azbe6D7fLBbc5tTA1dMv9Jkqe11r4xzzSWe7vH8luOOs+nl+3erGq4R+n0q6sfmTuPJ3w7ydRVeB/L0N35fcdjGRszhFgfSfKEMdCeOqF/yrVJfj3JpVPHLGbTWvvHJGfnrl3n/rMM+1+3VNUxGa5Kn8+WDCdTvH0Med+f5AU19jhUVT9SVfeY8b7mNIZpN2XYJ9x9+7qq+sVxejUeHE+G5fO4JN8bA/pPjO/9g+O4D2qt3dBaOz/DVa4P28vsP5Xk/lX16PH1R43v6UMZuxyvqh9Jctw47lzmqttifCDTAqeqmrnu3MO43F+T4Yru6zNcyPGMqvr+8fl7TzsB7V0ZembamCEwz17Gn/KhJE+vqu8ba/vz47BkuBf6VKD2yxm62F2o9yf5tbrzHsA/ONWOeSzoc5Xhc/6yaX/PN68PjeN+cPz/8zP0xtVq6GL4kNba/8hwVe2jFvbWJqOGWzNcmKHr7TkPkk/4e7fa/GmSV7f5TxK/IsOJBKnhdmX3nGWcD2U45rxmrNMTMizb5TD1u/Xr42f8GQt4zQeS/PrUyTrjduVTSe439Z2uobe5vV0Z/boMn4ep0Hi+dcr079q1GYK721prt4ztvmdr7X1JXpyhW/qVMH0d8pEkp1TVg8e23mNc5++Leyb50vj/M+aYz0xXZfgdm9zZFf3e5vHVMSDfkPmv4F6oudr9wYy9TNRwgcLU7VcWs6y6XA/vg6leEJ/eWpu6tei+7i/P9hvrqAy3KZnq2WJ7a+2VGU48cexk/1uOOs/loD52IiRfuJldGUzdq+M/JHlwVV2XYaP7mYxdhczi/CTPraqjWmvvybAivmY82+mUDD8ik+Fs3P+vhm5Irk9yR5I3TJvOtvG5j2XoCvbXl+1dMt1fJDm8qs6cGjAetDl2kdP7qwwb+X8+TmtdksMz3K/tB6pq+ob3kZnlxAhWzHLXelZt6C7uy1X1U+M87p2hC+Z9+XF/IJvrB930Az/rM9ynZr4ui+b8odNa+2iGuvxyFh7SztWuuXbUZ/OtDPfPfM34Hub7QbfQgykZDyb82ySPraqHZe4fJDOnueCDPHv73FXVk6t232PqIRlC7G/N02x1HhxQdd6L7VnACX2dsm3uWAfb5dVo1nV5VR2XodvJX2mtzduD1gps91h+S67zXmxP39u9IzP0onNTDd2lnpjkVeNzFyW5rKq2tda+nOFWL9sy3GLkmtbau9vQRfWZSd45HufYowvY1tqVGQ4uv3c8mDyr1tolrbWPzxg2ddzkrzN0//rh2V474zWvG1/zXzOcQHFTko+Px0TenCEsuT7Jrqq6rqpevJdJnps9u/R9dpJN43v9ZIZgd6p3vy9mOFifDPu6R+XO7itfVFU3jsv49ux5e4C7HD9qw31jn5XkgnFeH8gQNr0xySE1XPH/tiRntHm6sp+rbnt5z3P5nST3Gt/HdRlCpNm8dXyfN2a47/nUMropQ4hw+fj8BzJ2m92GCzl2JHlga+1jext/2vv7eIZeDz6WoZvuP2mtTfWq9Kkkv1FDb1P3ytjl9EK01i7P8Jn7y3FZvyN735d/S5ILay9djbbWPpmhO9+FzOtDGd7zX7ahG+zv5s7Q6gcz9P7wiQzHFRd7xf1ymHmbmqkgdOqz/ckMXTFfnvG+73uxP753q14buuz+o72M9sIMPWzckKHr6BNnGeddGdaL12U43vWv29Cr6XK08VtJ/lOG9cH7c2dX+PP5kwzHr68fa/7L4zrxGUnOH4d9IsMJEvPN++sZ3tvh49/zrVM+lOGYwgfb0LvKF3PnPv5RSd4zvubKzH2/66Wavs39WobjEVvH+f5l9v0kj9/LcKzi2ux5tfq2JCfW7F0vn5Uhi7g+w77RCzO/tyZZN36+fjXD9nqp5mr3mzJ0i78jyb/PeBvMxSyrg3Q9vNK2Z9/2lz+Y5Kk13vKghlsVXNeGHvjmO0GTydqe5fld9OkkP1DDrTOneuV7RIZ19+rXWvPw8JjjkaGLp7cn+dsMO+7vzXAw7cZZxj1+tuEzxnlaho32JzLsiD1qHP7ADDuufz0+94EkD5r0++/psZy1ztA11i1jLacezxifOzHDxmhq+LMn/d6XYdntnGMZvGf8/70z3Iv5+gw/dk8ah78qycumvebGJMeP/3/WuHyuz7Cj/Nhp452T5JJlaNdPZLhVxbUZDhB9fhx+Roaz4Wd7zXHj5+PHM+z0fTDDD89PJnneOM4vZDiA84kkd5+jbdszdE829fdLM1wpc98MPwBuyHAF9Y5py+S/j8votePfLxzHu2F8zZzrjPk+dxmu7PibcfjVSU5X51Vb513Zc71z3jj8nuN0rxuX9e9lODt64uuPpT6m6p851stzDZ8xjm3zAf5Yap3T2XZ5NT6y93X5nyT55rQ6Xb2X6S15u+exKurc3XbPw6PXx0L26Tw8PDw8PHp9zLNfvD3TjktNG3+f95czXKg5dVLL5Ul+eBx+coZeC24ap/XOJPed9DI5GB8rXecMx0q/NmMejxufOyXD8d5PZDhB6mcmvTyW61HjGwSAVaGq3pPk9a21KybdFlaOOgMAAMnue4e/pw23UAIAgGWhu3UAVoWqOrqq/ibJdwSnBy91BgAApmutfV5ADgDAcnMlOSyzqjo9w/3np/tca+3nJ9EeVo5aT15V3SfDva1nOq219o393Z6ZqupdSX5oxuCzW2vvX4F5HdDLYikO9Pemzgc+6+s+qHNfrA/7oM4AALB/VNVzc9d713+4tfYbk2gPK0Od9yQkBwAAAAAAAKAbulsHAAAAAAAAoBtCcgAAAAAAAAC6ISQHAAAAAAAAoBtCcgAAAAAAAAC68f8DPB1aFmmwlaoAAAAASUVORK5CYII=\n"},"metadata":{"needs_background":"light"}}],"source":["plt.figure(figsize=(35,10))\n","boxplot = data.boxplot(column=[\"EURUSD\", \"CPI_US\", \"CPI_EU\", \"Money_Market_Rate_US\", \"Money_Market_Rate_EU\", \"IPI_US\", \"IPI_EU\", \"M2_US\", \"M2_EU\", \"Stock Market News\", \"Economic Development News\", \"FED News\", \"Micro Finance News\", \"International Trade News\", \"EPU_US\", \"EPU_EU\"])  \n","#plt.boxplot(data[\"EURUSD\"])\n","#plt.show()\n","boxplot"]},{"cell_type":"code","execution_count":18,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":492},"id":"-odQ354FTEYB","executionInfo":{"status":"ok","timestamp":1679663960420,"user_tz":-60,"elapsed":728,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"outputId":"25c1d4d2-834a-4582-bc3e-d2548dc5f1fe"},"outputs":[{"output_type":"stream","name":"stderr","text":["<ipython-input-18-561cd0952510>:3: UserWarning: \n","\n","`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n","\n","Please adapt your code to use either `displot` (a figure-level function with\n","similar flexibility) or `histplot` (an axes-level function for histograms).\n","\n","For a guide to updating your code to use the new functions, please see\n","https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n","\n","  sns.distplot(data['EURUSD'])\n"]},{"output_type":"execute_result","data":{"text/plain":["<Axes: xlabel='EURUSD', ylabel='Density'>"]},"metadata":{},"execution_count":18},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}],"source":["#New distribution plot\n","import seaborn as sns\n","sns.distplot(data['EURUSD'])"]},{"cell_type":"markdown","metadata":{"id":"CQhomxYDUr1L"},"source":["from sklearn.experimental import enable_iterative_imputer\n","from sklearn.impute import IterativeImputer\n","from sklearn.linear_model import BayesianRidge\n","#Define imputer\n","imputer = IterativeImputer(estimator=BayesianRidge(),\n","                           n_nearest_features=None,\n","                           imputation_order='ascending')\n","                           #, sample_posterior=True)\n","#Fit imputer and transform                          \n","imputer.fit(data)\n","df_imp_tf = imputer.transform(data)\n","data = pd.DataFrame(df_imp_tf, columns = data.columns)\n","\n","#New mean lowers to 2.36 with random seed at 10\n","data.describe()"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"XcVBZMf3tt0H","executionInfo":{"status":"ok","timestamp":1679663960425,"user_tz":-60,"elapsed":132,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"outputId":"dbb170d6-0983-4ae2-efa6-17250013c820"},"outputs":[{"output_type":"stream","name":"stdout","text":["EURUSD\n","1.5576413205092706e-20\n","CPI_US\n","3.5022319410523443e-07\n","CPI_EU\n","0.024055998150137422\n","Money_Market_Rate_US\n","0.007007670551741425\n","Money_Market_Rate_EU\n","0.0021507637978200925\n","IPI_US\n","2.621032617088346e-07\n","IPI_EU\n","1.300819810160041e-09\n","M2_US\n","1.2406381722447747e-05\n","M2_EU\n","0.011450548291227875\n","Stock Market News\n","8.493930772607713e-25\n","Economic Development News\n","0.00016433684900068142\n","FED News\n","0.00043924276368327776\n","Micro Finance News\n","0.005602860403180456\n","International Trade News\n","0.0006121354259344973\n","EPU_US\n","3.362092877603434e-17\n","EPU_EU\n","3.391841352204316e-30\n"]}],"source":["# Check if time series are normal after first differencing\n","from statsmodels.tsa.stattools import adfuller\n","for column in data:\n","  print(column)\n","  print(adfuller(data[column])[1])\n","  #P value is always <0.1-> stationary"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":727},"id":"kAlRGBOASX2x","executionInfo":{"status":"ok","timestamp":1679663960426,"user_tz":-60,"elapsed":115,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"outputId":"ac9dd182-fdb5-42f9-f9c9-66c660105048"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["              EURUSD    CPI_US    CPI_EU  Money_Market_Rate_US  \\\n","Date                                                             \n","2000-02-01  0.029754  0.001826  0.003196                  0.06   \n","2000-03-01  0.019614  0.001823  0.003583                  0.10   \n","2000-04-01  0.020323  0.000000  0.001059                  0.11   \n","2000-05-01  0.042150  0.000607  0.001190                  0.00   \n","2000-06-01 -0.048059  0.006653  0.003431                  0.03   \n","...              ...       ...       ...                   ...   \n","2017-04-01 -0.002149 -0.001252  0.003829                  0.03   \n","2017-05-01 -0.030879  0.001135 -0.001177                  0.03   \n","2017-06-01 -0.016425  0.003480  0.000294                  0.07   \n","2017-07-01 -0.026096  0.001899 -0.005015                  0.05   \n","2017-08-01 -0.024248  0.002003  0.002658                  0.00   \n","\n","            Money_Market_Rate_EU    IPI_US    IPI_EU  M2_US  M2_EU  \\\n","Date                                                                 \n","2000-02-01                  0.00  0.002880  0.013493   13.2   0.10   \n","2000-03-01                  0.00  0.003998  0.003088   30.5   0.10   \n","2000-04-01                  0.00  0.007262  0.008188   56.0   0.20   \n","2000-05-01                  0.00  0.001844  0.012158  -12.0   0.30   \n","2000-06-01                  0.14  0.000912 -0.009105   17.9   0.80   \n","...                          ...       ...       ...    ...    ...   \n","2017-04-01                  0.00  0.010821  0.000931   52.3   0.05   \n","2017-05-01                  0.00 -0.000316  0.013857   65.1   0.05   \n","2017-06-01                  0.00  0.002219 -0.004598   26.2   0.05   \n","2017-07-01                  0.00 -0.001361 -0.002769   76.4   0.05   \n","2017-08-01                  0.00 -0.007291  0.016499   44.0   0.05   \n","\n","            Stock Market News  Economic Development News  FED News  \\\n","Date                                                                 \n","2000-02-01           0.004850                  -0.016937 -0.003431   \n","2000-03-01           0.010032                  -0.010264 -0.001292   \n","2000-04-01          -0.008960                   0.019750 -0.002368   \n","2000-05-01          -0.009041                   0.019368 -0.002373   \n","2000-06-01          -0.002734                  -0.001099  0.013077   \n","...                       ...                        ...       ...   \n","2017-04-01           0.002005                  -0.006553 -0.003000   \n","2017-05-01           0.000518                  -0.022231 -0.018553   \n","2017-06-01           0.001780                  -0.001099 -0.000859   \n","2017-07-01          -0.000847                  -0.002352 -0.007995   \n","2017-08-01          -0.003318                  -0.009024 -0.009132   \n","\n","            Micro Finance News  International Trade News    EPU_US    EPU_EU  \n","Date                                                                          \n","2000-02-01            0.011022                  0.000489 -0.543803  0.339649  \n","2000-03-01           -0.019641                  0.018035 -0.621220  0.033381  \n","2000-04-01            0.004221                 -0.010737  0.454406 -0.038295  \n","2000-05-01            0.004203                 -0.010853  0.675874  0.146276  \n","2000-06-01            0.011326                  0.018424 -0.003626 -0.337485  \n","...                        ...                       ...       ...       ...  \n","2017-04-01            0.001977                  0.011571  0.750910 -0.069177  \n","2017-05-01            0.024800                 -0.022444 -0.369826 -0.232139  \n","2017-06-01           -0.036240                  0.010546  0.185622  0.328359  \n","2017-07-01            0.014035                 -0.000650  0.012530 -0.413763  \n","2017-08-01            0.016215                 -0.009463 -0.113282 -0.192097  \n","\n","[211 rows x 16 columns]"],"text/html":["\n","  <div id=\"df-ded9230b-4dc2-438d-a878-7d8d9be589f3\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>EURUSD</th>\n","      <th>CPI_US</th>\n","      <th>CPI_EU</th>\n","      <th>Money_Market_Rate_US</th>\n","      <th>Money_Market_Rate_EU</th>\n","      <th>IPI_US</th>\n","      <th>IPI_EU</th>\n","      <th>M2_US</th>\n","      <th>M2_EU</th>\n","      <th>Stock Market News</th>\n","      <th>Economic Development News</th>\n","      <th>FED News</th>\n","      <th>Micro Finance News</th>\n","      <th>International Trade News</th>\n","      <th>EPU_US</th>\n","      <th>EPU_EU</th>\n","    </tr>\n","    <tr>\n","      <th>Date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2000-02-01</th>\n","      <td>0.029754</td>\n","      <td>0.001826</td>\n","      <td>0.003196</td>\n","      <td>0.06</td>\n","      <td>0.00</td>\n","      <td>0.002880</td>\n","      <td>0.013493</td>\n","      <td>13.2</td>\n","      <td>0.10</td>\n","      <td>0.004850</td>\n","      <td>-0.016937</td>\n","      <td>-0.003431</td>\n","      <td>0.011022</td>\n","      <td>0.000489</td>\n","      <td>-0.543803</td>\n","      <td>0.339649</td>\n","    </tr>\n","    <tr>\n","      <th>2000-03-01</th>\n","      <td>0.019614</td>\n","      <td>0.001823</td>\n","      <td>0.003583</td>\n","      <td>0.10</td>\n","      <td>0.00</td>\n","      <td>0.003998</td>\n","      <td>0.003088</td>\n","      <td>30.5</td>\n","      <td>0.10</td>\n","      <td>0.010032</td>\n","      <td>-0.010264</td>\n","      <td>-0.001292</td>\n","      <td>-0.019641</td>\n","      <td>0.018035</td>\n","      <td>-0.621220</td>\n","      <td>0.033381</td>\n","    </tr>\n","    <tr>\n","      <th>2000-04-01</th>\n","      <td>0.020323</td>\n","      <td>0.000000</td>\n","      <td>0.001059</td>\n","      <td>0.11</td>\n","      <td>0.00</td>\n","      <td>0.007262</td>\n","      <td>0.008188</td>\n","      <td>56.0</td>\n","      <td>0.20</td>\n","      <td>-0.008960</td>\n","      <td>0.019750</td>\n","      <td>-0.002368</td>\n","      <td>0.004221</td>\n","      <td>-0.010737</td>\n","      <td>0.454406</td>\n","      <td>-0.038295</td>\n","    </tr>\n","    <tr>\n","      <th>2000-05-01</th>\n","      <td>0.042150</td>\n","      <td>0.000607</td>\n","      <td>0.001190</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>0.001844</td>\n","      <td>0.012158</td>\n","      <td>-12.0</td>\n","      <td>0.30</td>\n","      <td>-0.009041</td>\n","      <td>0.019368</td>\n","      <td>-0.002373</td>\n","      <td>0.004203</td>\n","      <td>-0.010853</td>\n","      <td>0.675874</td>\n","      <td>0.146276</td>\n","    </tr>\n","    <tr>\n","      <th>2000-06-01</th>\n","      <td>-0.048059</td>\n","      <td>0.006653</td>\n","      <td>0.003431</td>\n","      <td>0.03</td>\n","      <td>0.14</td>\n","      <td>0.000912</td>\n","      <td>-0.009105</td>\n","      <td>17.9</td>\n","      <td>0.80</td>\n","      <td>-0.002734</td>\n","      <td>-0.001099</td>\n","      <td>0.013077</td>\n","      <td>0.011326</td>\n","      <td>0.018424</td>\n","      <td>-0.003626</td>\n","      <td>-0.337485</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>2017-04-01</th>\n","      <td>-0.002149</td>\n","      <td>-0.001252</td>\n","      <td>0.003829</td>\n","      <td>0.03</td>\n","      <td>0.00</td>\n","      <td>0.010821</td>\n","      <td>0.000931</td>\n","      <td>52.3</td>\n","      <td>0.05</td>\n","      <td>0.002005</td>\n","      <td>-0.006553</td>\n","      <td>-0.003000</td>\n","      <td>0.001977</td>\n","      <td>0.011571</td>\n","      <td>0.750910</td>\n","      <td>-0.069177</td>\n","    </tr>\n","    <tr>\n","      <th>2017-05-01</th>\n","      <td>-0.030879</td>\n","      <td>0.001135</td>\n","      <td>-0.001177</td>\n","      <td>0.03</td>\n","      <td>0.00</td>\n","      <td>-0.000316</td>\n","      <td>0.013857</td>\n","      <td>65.1</td>\n","      <td>0.05</td>\n","      <td>0.000518</td>\n","      <td>-0.022231</td>\n","      <td>-0.018553</td>\n","      <td>0.024800</td>\n","      <td>-0.022444</td>\n","      <td>-0.369826</td>\n","      <td>-0.232139</td>\n","    </tr>\n","    <tr>\n","      <th>2017-06-01</th>\n","      <td>-0.016425</td>\n","      <td>0.003480</td>\n","      <td>0.000294</td>\n","      <td>0.07</td>\n","      <td>0.00</td>\n","      <td>0.002219</td>\n","      <td>-0.004598</td>\n","      <td>26.2</td>\n","      <td>0.05</td>\n","      <td>0.001780</td>\n","      <td>-0.001099</td>\n","      <td>-0.000859</td>\n","      <td>-0.036240</td>\n","      <td>0.010546</td>\n","      <td>0.185622</td>\n","      <td>0.328359</td>\n","    </tr>\n","    <tr>\n","      <th>2017-07-01</th>\n","      <td>-0.026096</td>\n","      <td>0.001899</td>\n","      <td>-0.005015</td>\n","      <td>0.05</td>\n","      <td>0.00</td>\n","      <td>-0.001361</td>\n","      <td>-0.002769</td>\n","      <td>76.4</td>\n","      <td>0.05</td>\n","      <td>-0.000847</td>\n","      <td>-0.002352</td>\n","      <td>-0.007995</td>\n","      <td>0.014035</td>\n","      <td>-0.000650</td>\n","      <td>0.012530</td>\n","      <td>-0.413763</td>\n","    </tr>\n","    <tr>\n","      <th>2017-08-01</th>\n","      <td>-0.024248</td>\n","      <td>0.002003</td>\n","      <td>0.002658</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>-0.007291</td>\n","      <td>0.016499</td>\n","      <td>44.0</td>\n","      <td>0.05</td>\n","      <td>-0.003318</td>\n","      <td>-0.009024</td>\n","      <td>-0.009132</td>\n","      <td>0.016215</td>\n","      <td>-0.009463</td>\n","      <td>-0.113282</td>\n","      <td>-0.192097</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>211 rows × 16 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ded9230b-4dc2-438d-a878-7d8d9be589f3')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 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2020","userId":"05957751820960799131"}}},"outputs":[],"source":["#data = data.iloc[1:]\n"]},{"cell_type":"code","execution_count":22,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":727},"id":"lcHSqon-mw0G","executionInfo":{"status":"ok","timestamp":1679663960429,"user_tz":-60,"elapsed":109,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"outputId":"38c2b62d-2cde-41bd-a4d7-b8ab3384b5c7"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["              EURUSD    CPI_US    CPI_EU  Money_Market_Rate_US  \\\n","Date                                                             \n","2000-02-01  0.029754  0.001826  0.003196                  0.06   \n","2000-03-01  0.019614  0.001823  0.003583                  0.10   \n","2000-04-01  0.020323  0.000000  0.001059                  0.11   \n","2000-05-01  0.042150  0.000607  0.001190                  0.00   \n","2000-06-01 -0.048059  0.006653  0.003431                  0.03   \n","...              ...       ...       ...                   ...   \n","2017-04-01 -0.002149 -0.001252  0.003829                  0.03   \n","2017-05-01 -0.030879  0.001135 -0.001177                  0.03   \n","2017-06-01 -0.016425  0.003480  0.000294                  0.07   \n","2017-07-01 -0.026096  0.001899 -0.005015                  0.05   \n","2017-08-01 -0.024248  0.002003  0.002658                  0.00   \n","\n","            Money_Market_Rate_EU    IPI_US    IPI_EU  M2_US  M2_EU  \\\n","Date                                                                 \n","2000-02-01                  0.00  0.002880  0.013493   13.2   0.10   \n","2000-03-01                  0.00  0.003998  0.003088   30.5   0.10   \n","2000-04-01                  0.00  0.007262  0.008188   56.0   0.20   \n","2000-05-01                  0.00  0.001844  0.012158  -12.0   0.30   \n","2000-06-01                  0.14  0.000912 -0.009105   17.9   0.80   \n","...                          ...       ...       ...    ...    ...   \n","2017-04-01                  0.00  0.010821  0.000931   52.3   0.05   \n","2017-05-01                  0.00 -0.000316  0.013857   65.1   0.05   \n","2017-06-01                  0.00  0.002219 -0.004598   26.2   0.05   \n","2017-07-01                  0.00 -0.001361 -0.002769   76.4   0.05   \n","2017-08-01                  0.00 -0.007291  0.016499   44.0   0.05   \n","\n","            Stock Market News  Economic Development News  FED News  \\\n","Date                                                                 \n","2000-02-01           0.004850                  -0.016937 -0.003431   \n","2000-03-01           0.010032                  -0.010264 -0.001292   \n","2000-04-01          -0.008960                   0.019750 -0.002368   \n","2000-05-01          -0.009041                   0.019368 -0.002373   \n","2000-06-01          -0.002734                  -0.001099  0.013077   \n","...                       ...                        ...       ...   \n","2017-04-01           0.002005                  -0.006553 -0.003000   \n","2017-05-01           0.000518                  -0.022231 -0.018553   \n","2017-06-01           0.001780                  -0.001099 -0.000859   \n","2017-07-01          -0.000847                  -0.002352 -0.007995   \n","2017-08-01          -0.003318                  -0.009024 -0.009132   \n","\n","            Micro Finance News  International Trade News    EPU_US    EPU_EU  \n","Date                                                                          \n","2000-02-01            0.011022                  0.000489 -0.543803  0.339649  \n","2000-03-01           -0.019641                  0.018035 -0.621220  0.033381  \n","2000-04-01            0.004221                 -0.010737  0.454406 -0.038295  \n","2000-05-01            0.004203                 -0.010853  0.675874  0.146276  \n","2000-06-01            0.011326                  0.018424 -0.003626 -0.337485  \n","...                        ...                       ...       ...       ...  \n","2017-04-01            0.001977                  0.011571  0.750910 -0.069177  \n","2017-05-01            0.024800                 -0.022444 -0.369826 -0.232139  \n","2017-06-01           -0.036240                  0.010546  0.185622  0.328359  \n","2017-07-01            0.014035                 -0.000650  0.012530 -0.413763  \n","2017-08-01            0.016215                 -0.009463 -0.113282 -0.192097  \n","\n","[211 rows x 16 columns]"],"text/html":["\n","  <div id=\"df-6e509cf0-df9d-4e2e-861c-b936b3a5d40b\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>EURUSD</th>\n","      <th>CPI_US</th>\n","      <th>CPI_EU</th>\n","      <th>Money_Market_Rate_US</th>\n","      <th>Money_Market_Rate_EU</th>\n","      <th>IPI_US</th>\n","      <th>IPI_EU</th>\n","      <th>M2_US</th>\n","      <th>M2_EU</th>\n","      <th>Stock Market News</th>\n","      <th>Economic Development News</th>\n","      <th>FED News</th>\n","      <th>Micro Finance News</th>\n","      <th>International Trade News</th>\n","      <th>EPU_US</th>\n","      <th>EPU_EU</th>\n","    </tr>\n","    <tr>\n","      <th>Date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2000-02-01</th>\n","      <td>0.029754</td>\n","      <td>0.001826</td>\n","      <td>0.003196</td>\n","      <td>0.06</td>\n","      <td>0.00</td>\n","      <td>0.002880</td>\n","      <td>0.013493</td>\n","      <td>13.2</td>\n","      <td>0.10</td>\n","      <td>0.004850</td>\n","      <td>-0.016937</td>\n","      <td>-0.003431</td>\n","      <td>0.011022</td>\n","      <td>0.000489</td>\n","      <td>-0.543803</td>\n","      <td>0.339649</td>\n","    </tr>\n","    <tr>\n","      <th>2000-03-01</th>\n","      <td>0.019614</td>\n","      <td>0.001823</td>\n","      <td>0.003583</td>\n","      <td>0.10</td>\n","      <td>0.00</td>\n","      <td>0.003998</td>\n","      <td>0.003088</td>\n","      <td>30.5</td>\n","      <td>0.10</td>\n","      <td>0.010032</td>\n","      <td>-0.010264</td>\n","      <td>-0.001292</td>\n","      <td>-0.019641</td>\n","      <td>0.018035</td>\n","      <td>-0.621220</td>\n","      <td>0.033381</td>\n","    </tr>\n","    <tr>\n","      <th>2000-04-01</th>\n","      <td>0.020323</td>\n","      <td>0.000000</td>\n","      <td>0.001059</td>\n","      <td>0.11</td>\n","      <td>0.00</td>\n","      <td>0.007262</td>\n","      <td>0.008188</td>\n","      <td>56.0</td>\n","      <td>0.20</td>\n","      <td>-0.008960</td>\n","      <td>0.019750</td>\n","      <td>-0.002368</td>\n","      <td>0.004221</td>\n","      <td>-0.010737</td>\n","      <td>0.454406</td>\n","      <td>-0.038295</td>\n","    </tr>\n","    <tr>\n","      <th>2000-05-01</th>\n","      <td>0.042150</td>\n","      <td>0.000607</td>\n","      <td>0.001190</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>0.001844</td>\n","      <td>0.012158</td>\n","      <td>-12.0</td>\n","      <td>0.30</td>\n","      <td>-0.009041</td>\n","      <td>0.019368</td>\n","      <td>-0.002373</td>\n","      <td>0.004203</td>\n","      <td>-0.010853</td>\n","      <td>0.675874</td>\n","      <td>0.146276</td>\n","    </tr>\n","    <tr>\n","      <th>2000-06-01</th>\n","      <td>-0.048059</td>\n","      <td>0.006653</td>\n","      <td>0.003431</td>\n","      <td>0.03</td>\n","      <td>0.14</td>\n","      <td>0.000912</td>\n","      <td>-0.009105</td>\n","      <td>17.9</td>\n","      <td>0.80</td>\n","      <td>-0.002734</td>\n","      <td>-0.001099</td>\n","      <td>0.013077</td>\n","      <td>0.011326</td>\n","      <td>0.018424</td>\n","      <td>-0.003626</td>\n","      <td>-0.337485</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>2017-04-01</th>\n","      <td>-0.002149</td>\n","      <td>-0.001252</td>\n","      <td>0.003829</td>\n","      <td>0.03</td>\n","      <td>0.00</td>\n","      <td>0.010821</td>\n","      <td>0.000931</td>\n","      <td>52.3</td>\n","      <td>0.05</td>\n","      <td>0.002005</td>\n","      <td>-0.006553</td>\n","      <td>-0.003000</td>\n","      <td>0.001977</td>\n","      <td>0.011571</td>\n","      <td>0.750910</td>\n","      <td>-0.069177</td>\n","    </tr>\n","    <tr>\n","      <th>2017-05-01</th>\n","      <td>-0.030879</td>\n","      <td>0.001135</td>\n","      <td>-0.001177</td>\n","      <td>0.03</td>\n","      <td>0.00</td>\n","      <td>-0.000316</td>\n","      <td>0.013857</td>\n","      <td>65.1</td>\n","      <td>0.05</td>\n","      <td>0.000518</td>\n","      <td>-0.022231</td>\n","      <td>-0.018553</td>\n","      <td>0.024800</td>\n","      <td>-0.022444</td>\n","      <td>-0.369826</td>\n","      <td>-0.232139</td>\n","    </tr>\n","    <tr>\n","      <th>2017-06-01</th>\n","      <td>-0.016425</td>\n","      <td>0.003480</td>\n","      <td>0.000294</td>\n","      <td>0.07</td>\n","      <td>0.00</td>\n","      <td>0.002219</td>\n","      <td>-0.004598</td>\n","      <td>26.2</td>\n","      <td>0.05</td>\n","      <td>0.001780</td>\n","      <td>-0.001099</td>\n","      <td>-0.000859</td>\n","      <td>-0.036240</td>\n","      <td>0.010546</td>\n","      <td>0.185622</td>\n","      <td>0.328359</td>\n","    </tr>\n","    <tr>\n","      <th>2017-07-01</th>\n","      <td>-0.026096</td>\n","      <td>0.001899</td>\n","      <td>-0.005015</td>\n","      <td>0.05</td>\n","      <td>0.00</td>\n","      <td>-0.001361</td>\n","      <td>-0.002769</td>\n","      <td>76.4</td>\n","      <td>0.05</td>\n","      <td>-0.000847</td>\n","      <td>-0.002352</td>\n","      <td>-0.007995</td>\n","      <td>0.014035</td>\n","      <td>-0.000650</td>\n","      <td>0.012530</td>\n","      <td>-0.413763</td>\n","    </tr>\n","    <tr>\n","      <th>2017-08-01</th>\n","      <td>-0.024248</td>\n","      <td>0.002003</td>\n","      <td>0.002658</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>-0.007291</td>\n","      <td>0.016499</td>\n","      <td>44.0</td>\n","      <td>0.05</td>\n","      <td>-0.003318</td>\n","      <td>-0.009024</td>\n","      <td>-0.009132</td>\n","      <td>0.016215</td>\n","      <td>-0.009463</td>\n","      <td>-0.113282</td>\n","      <td>-0.192097</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>211 rows × 16 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6e509cf0-df9d-4e2e-861c-b936b3a5d40b')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 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axis=1)\n","data = data.drop('M2_EU', axis=1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":388},"id":"liUzfjDYEDLs","executionInfo":{"status":"error","timestamp":1679663960430,"user_tz":-60,"elapsed":105,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"outputId":"0465353c-2074-4537-e2ff-76084f935f6b"},"execution_count":23,"outputs":[{"output_type":"error","ename":"KeyError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)","\u001b[0;32m<ipython-input-23-bca245d81c76>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'CPI_EU'\u001b[0m\u001b[0;34m,\u001b[0m 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\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'IPI_US'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'IPI_EU'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.9/dist-packages/pandas/util/_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    309\u001b[0m                     \u001b[0mstacklevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstacklevel\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    310\u001b[0m                 )\n\u001b[0;32m--> 311\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    312\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    313\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.9/dist-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36mdrop\u001b[0;34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[0m\n\u001b[1;32m   4955\u001b[0m                 \u001b[0mweight\u001b[0m  \u001b[0;36m1.0\u001b[0m     \u001b[0;36m0.8\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4956\u001b[0m         \"\"\"\n\u001b[0;32m-> 4957\u001b[0;31m         return super().drop(\n\u001b[0m\u001b[1;32m   4958\u001b[0m             \u001b[0mlabels\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4959\u001b[0m             \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.9/dist-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mdrop\u001b[0;34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[0m\n\u001b[1;32m   4265\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m \u001b[0;32min\u001b[0m \u001b[0maxes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4266\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mlabels\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4267\u001b[0;31m                 \u001b[0mobj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_drop_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   4268\u001b[0m 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\u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4311\u001b[0;31m                 \u001b[0mnew_axis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   4312\u001b[0m             \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnew_axis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4313\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.9/dist-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mdrop\u001b[0;34m(self, labels, errors)\u001b[0m\n\u001b[1;32m   6659\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmask\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0many\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6660\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0merrors\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m\"ignore\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 6661\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"{list(labels[mask])} not found in axis\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   6662\u001b[0m             \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mindexer\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m~\u001b[0m\u001b[0mmask\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6663\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdelete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mKeyError\u001b[0m: \"['Money Market Rate_EU'] not found in axis\""]}]},{"cell_type":"code","source":[" data.describe()"],"metadata":{"id":"lJ7ibcVSrQ1H","executionInfo":{"status":"ok","timestamp":1679664110618,"user_tz":-60,"elapsed":491,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"colab":{"base_uri":"https://localhost:8080/","height":300},"outputId":"55301f1f-dac8-4b2f-b807-2c19978f0b40"},"execution_count":26,"outputs":[{"output_type":"execute_result","data":{"text/plain":["           EURUSD  Stock Market News  Economic Development News    FED News  \\\n","count  211.000000         211.000000                 211.000000  211.000000   \n","mean    -0.001424          -0.000324                  -0.000152   -0.000082   \n","std      0.023010           0.006443                   0.011207    0.011065   \n","min     -0.061934          -0.018599                  -0.030415   -0.024708   \n","25%     -0.016153          -0.003852                  -0.008206   -0.008092   \n","50%     -0.001578          -0.000003                  -0.001099   -0.000859   \n","75%      0.016034           0.003779                   0.006298    0.007708   \n","max      0.059657           0.014545                   0.027623    0.024983   \n","\n","       Micro Finance News  International Trade News      EPU_US      EPU_EU  \n","count          211.000000                211.000000  211.000000  211.000000  \n","mean             0.000688                 -0.000429    0.012683   -0.006323  \n","std              0.025268                  0.010439    0.550068    0.203396  \n","min             -0.064905                 -0.027713   -1.253588   -0.542917  \n","25%             -0.016109                 -0.007946   -0.415050   -0.136030  \n","50%              0.005232                 -0.000119    0.077612   -0.017682  \n","75%              0.015995                  0.006500    0.355336    0.110893  \n","max              0.056793                  0.027952    1.502079    0.525130  "],"text/html":["\n","  <div id=\"df-4c9189e2-08e0-45c2-b802-6f0275a9ea24\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>EURUSD</th>\n","      <th>Stock Market News</th>\n","      <th>Economic Development News</th>\n","      <th>FED News</th>\n","      <th>Micro Finance News</th>\n","      <th>International Trade News</th>\n","      <th>EPU_US</th>\n","      <th>EPU_EU</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>211.000000</td>\n","      <td>211.000000</td>\n","      <td>211.000000</td>\n","      <td>211.000000</td>\n","      <td>211.000000</td>\n","      <td>211.000000</td>\n","      <td>211.000000</td>\n","      <td>211.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>-0.001424</td>\n","      <td>-0.000324</td>\n","      <td>-0.000152</td>\n","      <td>-0.000082</td>\n","      <td>0.000688</td>\n","      <td>-0.000429</td>\n","      <td>0.012683</td>\n","      <td>-0.006323</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>0.023010</td>\n","      <td>0.006443</td>\n","      <td>0.011207</td>\n","      <td>0.011065</td>\n","      <td>0.025268</td>\n","      <td>0.010439</td>\n","      <td>0.550068</td>\n","      <td>0.203396</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>-0.061934</td>\n","      <td>-0.018599</td>\n","      <td>-0.030415</td>\n","      <td>-0.024708</td>\n","      <td>-0.064905</td>\n","      <td>-0.027713</td>\n","      <td>-1.253588</td>\n","      <td>-0.542917</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>-0.016153</td>\n","      <td>-0.003852</td>\n","      <td>-0.008206</td>\n","      <td>-0.008092</td>\n","      <td>-0.016109</td>\n","      <td>-0.007946</td>\n","      <td>-0.415050</td>\n","      <td>-0.136030</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>-0.001578</td>\n","      <td>-0.000003</td>\n","      <td>-0.001099</td>\n","      <td>-0.000859</td>\n","      <td>0.005232</td>\n","      <td>-0.000119</td>\n","      <td>0.077612</td>\n","      <td>-0.017682</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>0.016034</td>\n","      <td>0.003779</td>\n","      <td>0.006298</td>\n","      <td>0.007708</td>\n","      <td>0.015995</td>\n","      <td>0.006500</td>\n","      <td>0.355336</td>\n","      <td>0.110893</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>0.059657</td>\n","      <td>0.014545</td>\n","      <td>0.027623</td>\n","      <td>0.024983</td>\n","      <td>0.056793</td>\n","      <td>0.027952</td>\n","      <td>1.502079</td>\n","      <td>0.525130</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4c9189e2-08e0-45c2-b802-6f0275a9ea24')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n"," 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2020","userId":"05957751820960799131"}},"colab":{"base_uri":"https://localhost:8080/","height":300},"outputId":"782dc8f7-ae14-4c6c-93b2-a2a052672a66"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["                             EURUSD_x  Stock Market News_x  \\\n","EURUSD_y                       1.0000               0.1011   \n","Stock Market News_y            0.0716               1.0000   \n","Economic Development News_y    0.2939               0.6067   \n","FED News_y                     0.2153               0.1493   \n","Micro Finance News_y           0.1441               0.5972   \n","International Trade News_y     0.0272               0.5434   \n","EPU_US_y                       0.2317               0.1455   \n","EPU_EU_y                       0.1405               0.1096   \n","\n","                             Economic Development News_x  FED News_x  \\\n","EURUSD_y                                          0.0277      0.2548   \n","Stock Market News_y                               0.4995      0.3224   \n","Economic Development News_y                       1.0000      0.0023   \n","FED News_y                                        0.0015      1.0000   \n","Micro Finance News_y                              0.1084      0.0323   \n","International Trade News_y                        0.0001      0.0013   \n","EPU_US_y                                          0.0034      0.0016   \n","EPU_EU_y                                          0.1044      0.2608   \n","\n","                             Micro Finance News_x  International Trade News_x  \\\n","EURUSD_y                                   0.0035                      0.0006   \n","Stock Market News_y                        0.4397                      0.3732   \n","Economic Development News_y                0.0000                      0.1012   \n","FED News_y                                 0.0000                      0.0008   \n","Micro Finance News_y                       1.0000                      0.0271   \n","International Trade News_y                 0.0000                      1.0000   \n","EPU_US_y                                   0.0022                      0.0199   \n","EPU_EU_y                                   0.0770                      0.2049   \n","\n","                             EPU_US_x  EPU_EU_x  \n","EURUSD_y                       0.0537    0.1853  \n","Stock Market News_y            0.2264    0.1390  \n","Economic Development News_y    0.0687    0.0563  \n","FED News_y                     0.0027    0.0301  \n","Micro Finance News_y           0.0123    0.0221  \n","International Trade News_y     0.0073    0.3047  \n","EPU_US_y                       1.0000    0.0643  \n","EPU_EU_y                       0.0193    1.0000  "],"text/html":["\n","  <div id=\"df-20589c20-4435-4570-ba3c-4cca69c82f00\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","   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<td>0.4995</td>\n","      <td>0.3224</td>\n","      <td>0.4397</td>\n","      <td>0.3732</td>\n","      <td>0.2264</td>\n","      <td>0.1390</td>\n","    </tr>\n","    <tr>\n","      <th>Economic Development News_y</th>\n","      <td>0.2939</td>\n","      <td>0.6067</td>\n","      <td>1.0000</td>\n","      <td>0.0023</td>\n","      <td>0.0000</td>\n","      <td>0.1012</td>\n","      <td>0.0687</td>\n","      <td>0.0563</td>\n","    </tr>\n","    <tr>\n","      <th>FED News_y</th>\n","      <td>0.2153</td>\n","      <td>0.1493</td>\n","      <td>0.0015</td>\n","      <td>1.0000</td>\n","      <td>0.0000</td>\n","      <td>0.0008</td>\n","      <td>0.0027</td>\n","      <td>0.0301</td>\n","    </tr>\n","    <tr>\n","      <th>Micro Finance News_y</th>\n","      <td>0.1441</td>\n","      <td>0.5972</td>\n","      <td>0.1084</td>\n","      <td>0.0323</td>\n","      <td>1.0000</td>\n","      <td>0.0271</td>\n","      <td>0.0123</td>\n","      <td>0.0221</td>\n","    </tr>\n","    <tr>\n","      <th>International Trade News_y</th>\n","      <td>0.0272</td>\n","      <td>0.5434</td>\n","      <td>0.0001</td>\n","      <td>0.0013</td>\n","      <td>0.0000</td>\n","      <td>1.0000</td>\n","      <td>0.0073</td>\n","      <td>0.3047</td>\n","    </tr>\n","    <tr>\n","      <th>EPU_US_y</th>\n","      <td>0.2317</td>\n","      <td>0.1455</td>\n","      <td>0.0034</td>\n","      <td>0.0016</td>\n","      <td>0.0022</td>\n","      <td>0.0199</td>\n","      <td>1.0000</td>\n","      <td>0.0643</td>\n","    </tr>\n","    <tr>\n","      <th>EPU_EU_y</th>\n","      <td>0.1405</td>\n","      <td>0.1096</td>\n","      <td>0.1044</td>\n","      <td>0.2608</td>\n","      <td>0.0770</td>\n","      <td>0.2049</td>\n","      <td>0.0193</td>\n","      <td>1.0000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-20589c20-4435-4570-ba3c-4cca69c82f00')\"\n","              title=\"Convert this dataframe to 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model"]},{"cell_type":"code","execution_count":28,"metadata":{"id":"OM0aPM6QTDzq","executionInfo":{"status":"ok","timestamp":1679664112998,"user_tz":-60,"elapsed":40,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"948c5d6e-e713-4d2c-b8c0-bff604536816"},"outputs":[{"output_type":"stream","name":"stdout","text":["EURUSD\n","1.5576413205092706e-20\n","Stock Market News\n","8.493930772607713e-25\n","Economic Development News\n","0.00016433684900068142\n","FED News\n","0.00043924276368327776\n","Micro Finance News\n","0.005602860403180456\n","International Trade News\n","0.0006121354259344973\n","EPU_US\n","3.362092877603434e-17\n","EPU_EU\n","3.391841352204316e-30\n"]}],"source":["# Check if time series are normal after first differencing\n","from statsmodels.tsa.stattools import adfuller\n","for column in data:\n","  print(column)\n","  print(adfuller(data[column])[1])\n","  #P value is always <0.1-> stationary"]},{"cell_type":"code","execution_count":29,"metadata":{"id":"zRLizG4y4mqy","executionInfo":{"status":"ok","timestamp":1679664112999,"user_tz":-60,"elapsed":32,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["import pandas as pd \n","data.to_excel(\"output.xlsx\", sheet_name = 'RadyGBPUSD')  \n","#data.to_csv('output.csv', index = False)\n","data.to_csv('data.csv')\n","#data\n","with open('foo.csv', 'w') as f:\n","  data.to_csv(f)\n","data.to_excel('company_data.xlsx', index=False)\n","data.to_pickle(\"mdaa.pkl\")"]},{"cell_type":"markdown","metadata":{"id":"hUaiuvn-ElLG"},"source":["Buld VAR model "]},{"cell_type":"code","execution_count":30,"metadata":{"id":"Qj2W9X8s8HgY","executionInfo":{"status":"ok","timestamp":1679664112999,"user_tz":-60,"elapsed":31,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["# libraries for VAR\n","%matplotlib inline\n","import numpy as np\n","import pandas as pd\n","import scipy\n","from datetime import datetime, timedelta\n","import statsmodels.api as sm\n","from statsmodels.tsa.api import VAR\n","import matplotlib.pyplot as plt\n","import pandas_datareader as pdr"]},{"cell_type":"code","execution_count":48,"metadata":{"id":"pRWMWymQ8knA","executionInfo":{"status":"ok","timestamp":1679664496990,"user_tz":-60,"elapsed":1451,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"colab":{"base_uri":"https://localhost:8080/","height":281},"outputId":"9e059b69-8c0b-46ef-d3fc-af8acdd22d65"},"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.9/dist-packages/statsmodels/tsa/base/tsa_model.py:471: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n","  self._init_dates(dates, freq)\n"]},{"output_type":"execute_result","data":{"text/plain":["<class 'statsmodels.iolib.table.SimpleTable'>"],"text/html":["<table class=\"simpletable\">\n","<caption>VAR Order Selection (* highlights the minimums)</caption>\n","<tr>\n","  <td></td>      <th>AIC</th>         <th>BIC</th>         <th>FPE</th>        <th>HQIC</th>    \n","</tr>\n","<tr>\n","  <th>0</th> <td>    -58.39</td>  <td>    -58.26*</td> <td> 4.361e-26</td>  <td>    -58.34</td> \n","</tr>\n","<tr>\n","  <th>1</th> <td>    -58.97</td>  <td>    -57.80</td>  <td> 2.446e-26</td>  <td>    -58.50*</td>\n","</tr>\n","<tr>\n","  <th>2</th> <td>    -59.31</td>  <td>    -57.10</td>  <td> 1.751e-26</td>  <td>    -58.42</td> \n","</tr>\n","<tr>\n","  <th>3</th> <td>    -59.37</td>  <td>    -56.12</td>  <td> 1.654e-26*</td> <td>    -58.06</td> \n","</tr>\n","<tr>\n","  <th>4</th> <td>    -59.25</td>  <td>    -54.95</td>  <td> 1.900e-26</td>  <td>    -57.51</td> \n","</tr>\n","<tr>\n","  <th>5</th> <td>    -59.39*</td> <td>    -54.06</td>  <td> 1.680e-26</td>  <td>    -57.23</td> \n","</tr>\n","<tr>\n","  <th>6</th> <td>    -59.16</td>  <td>    -52.79</td>  <td> 2.182e-26</td>  <td>    -56.58</td> \n","</tr>\n","<tr>\n","  <th>7</th> <td>    -59.07</td>  <td>    -51.65</td>  <td> 2.509e-26</td>  <td>    -56.07</td> \n","</tr>\n","</table>"]},"metadata":{},"execution_count":48}],"source":["#VAR Model lag selection\n","model = VAR(data) # data[:-1]\n","ms = model.select_order(7)      \n","ms.summary()"]},{"cell_type":"code","execution_count":49,"metadata":{"id":"iDIhXJAHFTc8","executionInfo":{"status":"ok","timestamp":1679664499209,"user_tz":-60,"elapsed":6,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["# Fit VAR with 6 lags and see the results\n","results  = model.fit(7)#maxlags=10, ic='aic'\n","#results.summary()"]},{"cell_type":"code","execution_count":33,"metadata":{"id":"kVpZ5RlwY4dv","executionInfo":{"status":"ok","timestamp":1679664113000,"user_tz":-60,"elapsed":24,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["#results.summary()"]},{"cell_type":"markdown","metadata":{"id":"d80VWzcdEowj"},"source":["Check VAR model"]},{"cell_type":"code","execution_count":50,"metadata":{"id":"DdyjSKfa9kOR","executionInfo":{"status":"ok","timestamp":1679664503369,"user_tz":-60,"elapsed":1280,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"colab":{"base_uri":"https://localhost:8080/","height":131},"outputId":"9f9039a3-30a9-403b-bf92-c1bfc55d0ef7"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["<class 'statsmodels.iolib.table.SimpleTable'>"],"text/html":["<table class=\"simpletable\">\n","<caption>normality (skew and kurtosis) test. H_0: data generated by normally-distributed process. Conclusion: fail to reject H_0 at 5% significance level.</caption>\n","<tr>\n","  <th>Test statistic</th> <th>Critical value</th> <th>p-value</th> <th>df</th>\n","</tr>\n","<tr>\n","       <td>23.01</td>          <td>26.30</td>      <td>0.113</td>  <td>16</td>\n","</tr>\n","</table>"]},"metadata":{},"execution_count":50}],"source":["# Normality test (are residuals normally distributed?)\n","nt = results.test_normality()\n","nt.summary()\n","# yes :) they are :) "]},{"cell_type":"code","execution_count":35,"metadata":{"id":"C3xR0EK77S-A","executionInfo":{"status":"ok","timestamp":1679664113001,"user_tz":-60,"elapsed":23,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"5fca291f-719f-4b8f-89a0-ddb72b313d20"},"outputs":[{"output_type":"stream","name":"stdout","text":["[2.01985944 1.95942551 1.96705193 2.03900369 2.00833635 1.97291088\n"," 2.07608999 1.94761605]\n"]}],"source":["# checking autocorrelation in residuals\n","from statsmodels.stats.stattools import durbin_watson\n","out = durbin_watson(results.resid)\n","print(out)\n","# no autocorrelation, dw statistics are always nearly 2.\n"]},{"cell_type":"code","execution_count":36,"metadata":{"id":"sZhP71fu_G21","executionInfo":{"status":"ok","timestamp":1679664114232,"user_tz":-60,"elapsed":1251,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"colab":{"base_uri":"https://localhost:8080/","height":297},"outputId":"b0a3bd85-0522-4169-bdb5-50b47f9697bb"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.0003135139985881014"]},"metadata":{},"execution_count":36},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAYMAAAEGCAYAAACHGfl5AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAAsTAAALEwEAmpwYAAB+sElEQVR4nO29ebxlV1km/Kw9neHONSSpVCUpMjCEEAKESUCxQQwKYiuiaAu2A9q2/bXSCtgqKkoL6teorXY3n9iNfn4MMmhaxoCgMoYkkIRAyDxUqpIab93pDHtY3x9rvWuvvfbaZ7jnnHvPrbue369+de8555699t5rr3c97/MOjHMOBwcHB4fdDW+7B+Dg4ODgsP1wxsDBwcHBwRkDBwcHBwdnDBwcHBwc4IyBg4ODgwOAYLsHsBns27ePHz58eLuH4eDg4LCjcPPNN5/knO+3vbcjjcHhw4dx0003bfcwHBwcHHYUGGMPVr3n3EQODg4ODs4YODg4ODg4Y+Dg4ODgAGcMHBwcHBzgjIGDg4ODA5wxcHBwcHCAMwYODg4ODnDGwMHBwUCrm+KDNx+BK2+/u+CMgYODQwE3fPMx/Ke/vRUPntrY7qE4bCGcMXBwcCig1U0AAN002+aROGwlnDFwcHAooJMII5Bmzk20m+CMgYODQwFdZwx2JZwxcHBwKICYQeYE5F0FZwwcHBwKcG6i3QlnDBwcHAroJCkAxwx2G5wxcHBwKCDXDLZ5IA5bCmcMHBwcCnBuot0JZwwcHBwK6DoBeVfCGQMHB4cCXGjp7sRYjAFj7DrG2LcYY/cwxt5keb/GGHuffP/LjLHDxvsXM8bWGGO/PI7xODg4bB4kIKeOGewqjGwMGGM+gD8D8FIAVwJ4NWPsSuNjPwXgDOf8cgDvAPB24/3/CuBjo47FwcFhdCg3kWMGuwrjYAbPAnAP5/w+znkXwHsBvML4zCsAvFv+/AEAL2KMMQBgjH0/gPsB3DGGsTg4OIwIJyDvTozDGBwE8LD2+xH5mvUznPMEwFkAexljswDeCOC3+x2EMfY6xthNjLGbTpw4MYZhOzg42OAE5N2J7RaQfwvAOzjna/0+yDl/J+f8Ws75tfv375/8yBwcdik6Ls9gVyIYw3c8AuAi7fdD8jXbZ44wxgIACwBOAXg2gFcyxn4fwCKAjDHW5pz/6RjG5eDgsAmoaCLHDHYVxsEMvgLgCsbY4xhjEYAfAXC98ZnrAbxW/vxKAP/IBV7AOT/MOT8M4I8A/BdnCBwctheqHMUu1wy+dN8pPON3bsBqO97uoWwJRjYGUgP4BQCfAPBNAO/nnN/BGHsLY+z75MfeBaER3APg9QBK4acODg7TAZdnIHDviTWcWu/i9Hp3u4eyJRiHmwic848C+Kjx2pu1n9sAfqjPd/zWOMbi4DAJ3Hj/acRphuddvm+7hzJxdJybCEBuFON0+6/DWkd0n5utjWXJtmJy3+zgcA7h9z72TTBgVxgDl2cgQNchybZfSX/DB25FknK88zXXTuwY2x1N5OAw9eCc497ja0h2yeLomIGAMgZTwAxOrHbw2GpnosdwxsDBoQ9OrnWx0k6mYlGYNDjn6KaOGQBQ1yGeghjbJOPoxOlEj+GMgYNDH9x3QqTB7IYkrK628O12Abmj3ETbfx3SjCumMik4Y7BDcO+JNfz839w88QnhUMZ9J9cBTMeiMGl0tPm1C4hQT+QC8vY/c0nKC/dmEnDGYIfgK/efxkdvfxSPrbS3eyi7Dvcel8xgFxgDfbOxG863F6apRlOSZc4YOAiQmLcbdqcmVtoxlje2L9Z79zKDc/98e2GaBOQk4yoZcFJwxmCHgHZp07BL2Wq8+e++jv/wnq9u2/FJM9gN115nBrvhfHthmgTkNHNuIgeJdBcbg5NrXZxc2x5m0ElSPHR6A8DuuPb67nO3u4m68lpMAyNMUiEg8wmyNWcMdghoQm5XAszyRnfbFsM4zbZtd/bQqQ1kHGhG/q5wm3Sdm0hhmgRkevYmyQ6cMdghoLDG7ViQ23GKF/z+Z/ChW45s+bEB8TAm2/RA3ntC6AVXnDe7S5iBE5AJnanSDMRYuhN8Dpwx2CGgObBVlPXWh5dx7e/egNPrXay0Yqy2Ezx6dnsimZKMb1t9mLMt4Z46f76+K4yBYwY5pqkcBT33ndgZg12PrWYG951cw8m1Lo6c2VBFsia5K+mFOOXbduyuNEKNyN8VxkDXDKbAO7KtyAVkcd/bcTpRn30vpCm5iSYXUeSMwQ4BUdWtWpDiRBxnrZ3kxmCbEt6SbXQTxfKc68HuMAaFPAPHDACI+dfqpnjmWz+FT9zx6LaMJXGawdbgi/eewl998YHtHkZPpFvMDGJJjVc7uTGYdGhbFbbTTUTi4e5hBi60lNDVylGstIWr9OHTrW0ZC92LSW7InDEA8IGbj+BPPn3Pdg8DAPDhrx7BAzLJSUemoom25gElJrLeSbDeEdR021w1yfZFE9Fxa6G3K3zomzUGZzdiPPf3Po1bH16ewKi2B50kdxPRIjzpxK8q0ObMMYMJI04zFVO83fiVv70N77/p4dLrOTPYmkWRFsG1ToK1jmj7t21uomz7jAGdc026ibbLZ7xV2Kyb6OjZFo6dbeNbj65OYljbAtr8JFpo83aw4yzjoFsxycqlzhhAPADbtevVkWYcSUV1QtqlbVWYG7llVtsJ1ogZbJtmwJHx7XFbdFOOyPcQeAwA1DjO1RpRtNiFPhvqetNiud5NJjKu7YDuJorTyfvsq6B7AxwzmDDiVBSB2u5dX9wj/Z0ezK0S9XRmsL7NAnKv67IVxw59Bl8agyTL8A+3HcV3/MFn1HU5l0D3uB76Q801+rtz6Zp0VAayxgwm3FPABt0oO81gwuimGTjf/l6nKpTNsiNLt1wzyB/utfb2hpYmW3zuOuI0Qxh4yhhkmeg61Y4zbHSnw7U4TtAC2AiHE8yVMTiHroleqK67jW4iPc/BMYMhsLzRxWo7Hupv6KZvt6tIpb9bbvhW5xmQQZqG0FLFDLbh+IIZ5G6iJMvO6TpR3UQwodD3hsoz6KTnFjNI0gx0e+OUq7m3LcYg1d1ETjMYGD//N7fgN//+jqH+pruNFFAHLXq2HXCy1ZpBkoeWbqebiPPcXxtvQyZoNxGagcdyZkD3IuUccZrhjR+4DQ/LYnY7HZ0kE+frDeeSpLmxdo4YA31jKNxE1UlfJ1Y7uOEbj01sLE4z2CROr3dxbMiyCbQIbzczoEQv2zi2uoR1ojEDEgU723B99PPdDjdenGaIAg+BX2YGWcZxdLmF9930MP7prhNbPrZJoJtkqIU+fDacgEzGYKNzbriJ9I1PnHJNMyg/A++98SH87F/fNLHNkn4fXDTREEgyjo0hL5iKIZ5g3Y+BxqGFspnYas2gqwnIq+1qZpBmHKfWOhMbh36+2+cmYooZpJwXNAy6LytDuianFZ0klcyADZVXkWsG5wgz0OZakmY9NYOzrXii0W66ZuAK1Q2BLOPYGJKq0o5z25mBUQtFh8oz2KJoIl1Azt1EZSP74a8+gu/4g8+iNSHhMDbo+lbD1AzSjKtcjzTjypWy0jp3FsFa6MFnbKiqpd1zTDPQF30RWip+b1s2mmQAJ+XGLDIDZwwGRpLxoaM8BmUGNz94Bl+49+SmxzboOHqFlqZbZLBUnkGfDORHz7aw1klwZkJtKXXD2E22J88glDtlIM8FAYRPPTnnmIHQDHxvc26i9XPETdQpuIl6J51RHs6k9Ly4ICA7YzAw0owPTVW7SjPoPZH/6FN34e0f/9amx9YPg+QZ6G6TR8+28Zefu38i+REqz6BPNFFbGlByJW0W9xxfw7/6w8+WXE7JdjMDuTjqzIAe+iTV3EStc8MYEDPwGNtcnsE56SbiSs+zCcjEhiY1PwvMwEUTDY50E8yglzikY62TTFTAyTWD8kNoCy39yO3H8JZ/+MZEWkLSGFpxqhY6uzEQ14NKVmwWdz22ivtOruPhM8VCYHrOhc1Ifu7uk1bqPi6IPIM86SzVdIKM65rBubEI6sxgGBf4ueYmMqOJemkGtFmyPbetbjpysmRBM3DMYHBQOYdhbkBehKr332x00oneDBVCOSAzoEVwEg+gPobVHlVL23KnMupiWOUi05mBqaUcX2nj37zry7j+1qMjHbvnuKRm4BfcRLlmQPdl2NyWKrS6Kd5/08Pblg3fTUT0lDekm6ijmMG54SbqGppBL1cyPX+26/XD7/wi3nHDXSONpcgMnDEYGLSDHoYdDFqEaiNOJnozYrUgVmcgZ5aJMYnYbjML2mP2XUlnTG6iqoQ7/VqYhoKM1PKE9AoaV+gLQRUQAr5umMftJvro7cfwhg/chjuOrozl+4ZFJ81QC3z4bHN5BttZYXacKLmJ1BpR7SaynfcjZ1o4ujxa2WuXZ7BJ0E5yY0DfZVYoQtXbgIyD8vWCchNZfI82ZkDjnQgzMCbdUjNCkvFShEmbktNG3Bl3lG5jGoPiQ1k4tnJRTdZNFGnMIElzzWASbqKHZPLadiWxdeIUUbB5ARmY7lyDX/nbWwdikqQfNiN/YAHZdr3GUQTTZSBvEnQ/BmUG8RD+uPVOOtHw096hpfJ/S9GqSYh2pkFamonEMY3zpwV5bMzAOHf9QSgfe/J+6jjlhUJ1ugGYhID8iNxFPlKxm+Sc453/fO/EqqZ20wy1QAjIQxkDLfhibYpF5I/cfgyfv7t/RCDNx2bkCzdRj6qlOTMoX69Oko3sWi7UJpr20FLG2HWMsW8xxu5hjL3J8n6NMfY++f6XGWOH5evfxRi7mTF2u/z/X406Frpwg+5O9BvVi4JlGUcrnqxm0Cu01NbcJncTjX+3EKccc/VA/b5HGgPzGnXGxAyqIql0Y20yAxLz1yYo3saGZpAYoaWU99FJsrEI2UfObMj/7cbgxGoH/+Wjd+KTE2q/2IkzxQw24yYCMHSez1Yhk8ElprF6740P4d4Ta4XXOsoYBIV+BiKaLD/XVK4L9LN5vK6siDwKChvANMMX7jmJV/3PL469FezIxoAx5gP4MwAvBXAlgFczxq40PvZTAM5wzi8H8A4Ab5evnwTwcs75UwC8FsBfjzoeWjsG3S0X49irLy7d8O0SkHPRsrxLmJSAvNSM1O975M/m+Y+fGZgCcrVmQOL1JHeiVI4ir1qaswE95wAY/RoAuRGoMga0sEwqE71LmsEIbqJprU/UtrhVjy638KYP3Y73f6XYUKqjMQO9UJ3+HlBcZ8ykMxWyPjIzEPehEfroxBm+fP9p3Hj/6bFf53Ewg2cBuIdzfh/nvAvgvQBeYXzmFQDeLX/+AIAXMcYY5/yrnHNy4N0BoMEYq40yGFo0B82IHZQZkNvJ5jcfF1ShOltoqRxakpXdJpMwBknKsdgM1e9VbqJx7c51AbI4Ds2NN2E30YnVDt74gdsKO3wlIBeYQb5L1OfCqIlnSZqpulpVbqKutkOdBDpxilrggTEGyzSshH5vxlHa+8x6F//9s/eONaqKxqV7DT7zreMAygaM5uFMLSh12isYA+3vzHtCnxvVtZzKGzFT89FJUhUwMe5aXeMwBgcB6Gb1iHzN+hnOeQLgLIC9xmd+EMAtnHNroRvG2OsYYzcxxm46ccJeFIxzrjSDwZnBYJqBblwmpRv0KqVN7ohCNJESUCfPDPbO2JkBTfiRQ0srBORCvLfpJhqzgP6l+07hfTc9XGjdGKdcMAOWMwMahx5aCozODB5daSPNOJqRj0fO2AVkuv6TMgakGfgMw5WjSDLIS4S1ToJPfeMxfP2Rs5sexz/eeRxv//ideODU+IR0eob15+UzdwpjYM6hgmaQ5poBUBRx9b8zmSt9blyaQTMK0EkynN6IrccbFVMhIDPGngzhOvrZqs9wzt/JOb+Wc37t/v37rZ/RH5BBNYNOgRnkf5OkReFHNy4TMwY9mIE9mmiCbqIsszODSjfRaLviqtDSnm6iMYW1EloW40qF6vKqpblrSA8zBUYXkck19IxLlrDSTqxMoztBN9EX7z2FdpyhHg7vJuokGRYbYr5sdBP86odvxzv/+b5Nj0U1ehrjs0bPMEUatuMUn7/nlHyvuF7Q8WeiALHJDDQRV9frzOtVxXaHBd3rZuSjm2QaM5g+Y/AIgIu03w/J16yfYYwFABYAnJK/HwLwYQCv4ZzfO8pA9AdkM8xANwy/+5Fv4if+143qd536mjc3yzj+8BPfGjnCY5ByFLbU9EkIyEnKUQs8NCMfALBnRjzoZWMwngWZrn0pmkjzw5aNgWQGY9IMTMOWyYU/1PoZ6AYgzXihcOCobiIyBs9+3B4AIkbdBF2Dcbsqr7/1KH7sL76ES/fP4JXPOLSpchTEJE+tdXFitTNSGCS5B8ep0W10i8/Ll+8/jVacIvBYNTOo+YU8A6DaTVRmrmNyE2XkJhLM4MwUG4OvALiCMfY4xlgE4EcAXG985noIgRgAXgngHznnnDG2COAjAN7EOf/8qAPRJ++gfkt9suk/P3R6oyDi6XkL5gQ9cqaFP/3MPfjkiA0u9OY2pq/Uxgwm2Xc2TjMEvofZmogoWiQB2ajfRKLc6ojlKKpcZMWkMzPPgM5/PMaQ3Ahk2EgQLGQgp/YMZGD0yqUUSfTMw9XGYFLM4BN3PIrz5ur4P7/wfFy0pzm8gJxmij3ec1xE5owSRdMrmGKzoPtLz8s/33UCtcDDMy5ZKjODJIPvMdQCv9DPACh6EHQWad6TsTGDNGcGnSTFmXUqDzNlmoHUAH4BwCcAfBPA+znndzDG3sIY+z75sXcB2MsYuwfA6wFQ+OkvALgcwJsZY1+T/87b7Fj0m7HRTfDYShuf/mbvBbrqJq93kmK4XA9mQH83enhl9cJnq000UTdRyhF6DLP1AM3IRz3wC8dUYxhXBnIFK0oKoaV2ZjAuzcR0E9E90JPOSsxgjALykTMtnD9fw6X7ZwHYRWRKzhtm1z4IuolYzGek8Tf7Gdz0wGl85x9+Fp+oCGntJhkWGiEYA+6UmssoiyDd90kwg1acIs1EY6KL9zSxdzYqPUPU1yH0mahNpC28bc1NVGQGdj1t1HNQzCAK0IlzZjDuwnhj0Qw45x/lnD+ec34Z5/yt8rU3c86vlz+3Oec/xDm/nHP+LM75ffL13+Wcz3DOr9H+Hd/sOHTqvN5J8e4vPICf+aveHYiqmMFGNy0Yh40emoESUUfcGRbroRSPYXcTic9MSkAOfQ9ztQAztQBR4JXGyDnPmUE7GTjyI0kzvPfGh4wEulQdtzCORDeQhjHQBLpxLBotIzKKvrOQdKZrBkZo6aiawSNnWji01MS+2Qi1wLMag0kJyCLTmqnfzX4Gtzx0BvefXMfP/vXN+It/KWsB3UQIz83Qx92PjW4McmYwzmiipPDz2VaM+UaImSgo5UZQjabA85D2YAbrPZhBZ0zh6MRQmzUf691EGbVpdBNNDUxm8OhKGxkXrTCr0K3yBXa3nhnoY4kNCmgzBhPNQE65cBPVA8zVAtQsxqCbZuAcmKsHSDNe2DH1wk0PnsGbPnQ7vvLAafVa1cOvx26b9ZI6FTu0zaJNbiKj1kwY5CWs9XpEKR9vaOmR5Q0cWmqAMYaDiw3lNtKhJz+NE7T4EXyDGay0EvgewxMvmLOyg67Mx5ipBcrlMoqvvJd+1gt3HD1bqafoz/BGN8VKO8ZCI8RMLSiHlsrzCX2mBGR6BqoEZHMDpyqdjksziIJCJdmpcxNtB1bbCa7+rU+UFoCsYAxSnFgVUaone7RlpMWNGYXYWt20YBx6hZbmWbijLUh6JI2ZwEIPZiE1XYVWjldA5pwjzsRO8RkXL+Haw0s5M7AYz/2zIjVkUGNI7p1WXDaw5TwDjRlUGGFgPOyoZSTQ5cwgF5AzXgwt1SM9Rg4tPdvGgYUGAODgUqOnZjAJYxD6+XLgMQZ9Cp5txZivBzhvvl4Is9T/PvI95WbSx7oZ0DUexqA8fHoD3/snn8Nn77I7F3RjsNZJ1DnN1Hysd9MCs6VS3oHPlIBMGfkDC8hxbtBGyZdQmkHNL7zumAHEIrDSTko7/mQTxoB2orMyhpew3kkKu0B9wa2OtR9PSQbzZ2Br3URpxsE5EPgeXv+SJ+D3X/lURH6ZGdCivk8ag0FzDWzlgKsykOl3j5VpeMF3OwZ21IqL15OOXZPuAkAWqrO0vVxqRiO5iTgXBRProTjOQiO0Xs9JCciUaU3wPZT0kPlGiMhn1l7UxCxmtAVrJDdRNjwzWJbx90eX7VF9LW2OrHcSrLQSxQzSjBeef3J7BZ6nSlhTMMWgAjJ9H+ej3S+dGehwxgB5Nq4pZuqTd72T4Lg0Bqd6NH+h6JjZemBoBEV/30ZcHU00LhFVd5GYuwxbbaJJRRPRMQLNh1wLy8aAznv/3HDMwNZzulPhFsh33kFlkTxgPPWJVFJSm5J6xLFF20vxmZQbbS/lZ5Zm7Iv3oNCPBQimYau8S9dg3AIy7YQJppvobEu4VELfsy5CZAya2oI1SjRRsoloIro2VSXNC8xA5nGQZgAUn6NcMxDPQCtOMVvBDJQLsZQwWb2BHAY6+9QxjRnIWw56EMzCYLoxONuKFXM4td6DGUi/22wtKLgq6AaQgdjoyQxkg5cRBcTCzsRkBj2iiTa66VjjzunY+uKgmIFFSNs3K0IKBzWG9IDbxPuSZiBfr4d+aUdaMAbj0AwMN5HSDPycGegRREk6PmZAbIMWlmYUWMOjJykgh4HpJiqK472MQUcyi1ndTTTCzpUWVlM76wW6Nmc27PdBv56PrbbBORQzMN+nTOxAzvuNbpozA23erXcTlZxZFpDtwSnDgq6F7oIDHDMAgEKlSB36zdDrwfdqC0kTVjADWlzLLMCcKDrGphn0KL1guomSNEOa5ZVFxyki07FpYQJgjSZql5jBgG4iEtYS3cDaRUcSjRuRZ3UTzdP5j0E3MUNLu8oYsJwZZPZ+BkvNqKebsNVN8Rt/9/VK9kRGkBafRuRb62tNqjZRN81Q68MM5ushosArGWzOhRul5udJinPa5mpz45HP+KaYQZUx0AvUCVfSfD3EjBzzmoUZhJIdt7opZmti0dfXnbVOigWZeV2VdKaPbTOoZgbOGKjdmNmPmF6fifxCEskgArLODPS/1Q0ELY7lGiRkDCavGdDEoMlFNYPGKSLrUTQEMgadgjEQxxzeTWRhBmonaArIGQKPIfS9spsoSZVeMWoPZsCSdJbkDMnGDHQBec9M1DO0+NYjy/jrLz2Imx88Y30/0QwPADRDv9BukbCVAnKRaSeYl8ygKjFQZwaP2z8zlt2wTZ+oAn22l5uIFtRjZ4U4P19gBvn96xhuoo1uWikgU0JmVdKZ+fOwSDOuEuB0OGOAas2ALPNcPa+pE/qsp2ZAF3ROYwYtY1IAYjIQHTSPqxuRUWqMDyMgEwWlrM9xisjKGHgWN5GFGeQL8oBuIkvkUGUJa1kOIvK9clJPnGnHHt0Ymklsyo+vFarTDYBewXahEaIVV3fCI9ZR5edVOo2XMwOgXH13cm4iXgotNcNm5xuBEJArignqmsGl+2bGshvelGZQ4a5rdVO1cSFmINxExAyKrmARTSSuSStOUQ99BB4r5RnkzMDuPhY/j3YtfI8p3Y7uk9MMUK0Z0Ot6U5bL9s/21Ax0ZpBn9Oo3UYZBdnM6WKUZAKMtyt2Ua+zDEJDlr7mWYTKDCbiJNAGZMYbI2BXSeVPjm0EF1LzN6ACaQZohkIXiSuUoklQdexznr7uJRHRPrhn4fm4MqKeEnoBGi3fV4kU5DFXv0+t0/9VuNRb5Lrc8JBiFMgYTyEAOK9xEbdnUSWkGFZuhyPdw4WId8/UAF+9plhrBDIPN5BnQZ8/0YAb0vFBf4vlGoK61TUAOtWcg8hlqgWfkGWjGYGLMQLBjcuOdJw2aYwbQ3EQVmsF8I2cGT7xgDidXezMDxqg8bLnwmTIQ3ZwOVkUTAYP5ze85voqP3n6s9Ho3yRSNNR8is7mNuRCP0xjoi6COyHgQiBk0owCztWBgN5Gt6YctwojGEvqeVbjsxBmaNR+1wBurMaDuVbpm4GuF6grMgHN4LL9WVbu1fs2RTANM82Cjm+Ijtx/FD/73L+D4artQv2qcoCQrgp5nQML4fD1EaNEMlDEIfPz4cy/BDa//DjQkQ9gsO8jzDAY/T3pWz/bQDGbrIeqhp/pGLFRFE6UZosBXTA0Q97gW+iU30WwtgO+xUtLZuDSDOC0yA2cMNNA1r4omImaw1AxxwUIDp9Y7lUkfHbnY1EIvF4stkUOtbqpK9FYJyIAQ2vrhr7/4IN74wdtKr8dppnYp5jHonOllGtdk3EQU5sgKr0eBVwiXo+tfDz3M1YPBBWRyE2nnWOkmkmwp9MrGoC2p+2wtUFnDo6Cl+YXX2ok6XqE2kSEgJxlH4OU7yKqdsDIGFe+raCISkMPcTXRytQvORRawCi0dozEgAbiUZyCfGZrTC5pmoD9PuTHwUAt8nD9ftwYc9MMX7j2Jv/+aKHicbCLPgD673Iqtz/tGN8VMJOYLnZOuGZjMQEQT5c9AGHiCGRTcRClmagECj1XmGdD3bRapdJWSZnDeXF2er3MTVUYT5cZALNr752rYNxshTnmlCyNOOCLfQ8330EnEJN+Iy76+nsxAmxyDLIidJFOuiMJY0ky5G0rRRCq0NFPfAeRuoodOb+Bpb/kkvnjvqb7H74dKZuB7hXOnMdRDXxqD4QRkCgDgnFe2CBQN6T2EAStdk3acoh74mK0HAzGDrzxwGv/jn+xV0jOZdKTEcK1QYWgYA12/yTIOz8t9/VU79nbce3FTBlgLLQXEAkaGvh3nWfHj1AzygnzF2kR0DIqSWpBJZ/rfAHk8fWQJOBhmEfyrLzyIP/rU3fI7eeXfP3x6w1qqQ9dTbJuDjW6KRuTnxfiYSDYlFmYGjgg3kcEMAq9QgK6bZpitCS2hZzTRODQDeU1pjo6ziB+wQ41B7iYqMgPaTVC44XlzdSUwVkUUddNU7GjkTqybZoWiVXpo6Vw9gMeqo4mAwSJquomo6dMymE2cZIqy6sfgWgijmf+wd0ac3yfveAxnNmJ849hK3+P3g7lLJURB0RgQM6gFHhpRoDJ4+0FFExn/6+/pYwl9hsDGDJIM9dDDTDSYMbj+a0fx3z59t/U9KnqXl9bImUEYeKAoW7PtZZJx+CxvflOpGQzsJioKyBvdpGAMJiEgKwaku4m0wnz6Ljp3h5U3BXpeCvm3hxFOW9r5qWgiy/V804duw5v//o7K8wCA5fXyc9iKRTQRGdq5eghPLrJmT4OurFpaCK/2RUSP6qMhPz9TCxD4nqXtpR6OvvkAB6UZSGawNBNJJuKMgaLIZmE0ujY6M9g7mzfcsCFOOEKfFaJlijsEUbOEwtLMBZH+hjCIiEqLX7k4Fle7FL0omz7HVDSRPOYeeX43S4HxdA+xfFCYu1SCcBNpxiAhN5GPmu+pXIFBv99W4rfU3EYWzBOaAddeF3kW5CYaxE3WjlO0KxYnitqhXddaO1G708gXPYF9jyFJM3U/iCX4HtPcRBWaQT8BWRngombQ6qYqu7od5x23xiEgt2UpZ50BEXSNxHQTmedBf1+zMYMh3Dy6TtMrA3mlVS5Fo48DAJZb5ffXO4nUt3x1PoAIjhAZ30VmULMxgzBnBmu6MfDKUVbDMIM7H12xZpwDOTOgDcK+2aj0PIwDO9IY0CWoYgZzihnUFDM4VckMMskM8p1My0g668qFZ6YWIPK90m6nk+QtIgdlBkA5N6CbpIrC6hEb+o4jMRbShUYIj+WfOW3ZEQ0LW54BUHYTkTGuBZ7VSFYhTzorG4OSoVV5BsWHjRb1eijq4QxkDBJxH20LTMvImVjrxIU8A0BE2Ojjo94GvseUmyhOMxxfbeMJv/4xfO3h5dL3Vz3AdP8onFcXkOncWmNmBt/zx/+Cv/iX+3oygzTjKn9ivh6oOWHTe/S/t1W57YeOFppLxtFWmbObZHmxw26qelbrYrOZhUy1hxphzgzmG3nUob6hILdlZGoG5CaipkpynZitBQj8cjMgXYfpxZA45/jXf/YF/P7Hv2V9n3Sz/XM1/OmPPg3f/7SDCH3m3EQ6SsxA7pbITaQzg2o3Uabi2AEbM8jUrq4R+qXdMSAm8b7ZwbNwacKbro045blmoFFAvQ6NmWdQD/xCAatxMANbBjIgo4kKmoFwsTHGrNfl6HLLmgBk5hnQ3zGLCy6piCbKXVQ+ZuvhQEl3pFGYgQf6ayTOFd1E4jr4jBXOkdpe+p5XiCZ67GwHnSTDQ1oWfL9oIhVaKhcf5SaKU+X/1nfO4zAGR8608PCZDaubR/Vv4EU3kV0zKBuDzWgG7TjT3ETVzCBOM3U93/uVh/B9f/o5dJK0yAyMeUefb0oBGciZAQA0a4HamcepKNSoBw4AJCD7WrVgnRmUd+qdJMMcbe567OI7iTifj9x+zHpf04wr9+HLrr5QywR3xkChxAzkBb9goQGPAYf3zmBPMwJj1SUpKLlEZwa6ZtCJU2UcmpFf2h3T38zUAjRCf6D6NFVuojjNVGq8vsvRJwi5B/QHkNhEM/J79m4YFHlIZW/NoBNnqMuH3nZdfvJ/fwVv//idpe83M5Dp/2boW5PObHkGeiTT7BDMQPythRl0xWt6aQ1TSA88VgitJQHZ9/LIqyTL8oqbOovqU+Of5q7KQJYGvtVNVOG8cWoGtPvVXU+FaCKmM4MYzchXRtk8t67FmGzGTdRONGbQQzPoJJly6Zxa66KTZGh3M8MYFJ9DWuibtUAlmenGQPQ0EN/50Ol1AMCFi43CM6DyDJSbSBa5rPmSGZju47y4XS+jSOdyYrVT6PFBSKRmoMOmoY2KHW0MqpjBwcUGPvvL34kXPek8BL6HpWaEExXMgEr3Rr5chOVEI3bRTXO3UVN2/LJFE9WCwcMrqfiWzgwogYkWAT1EUY9QyZlBLt7O1ARj+bbL9o7FGOQLU3F61EzNQIZ2AmVDwTnHg6c2rOPJNYOiH32mFliTzoi5FZkBuYn8gQXkdg9mQDtHKrq31sk1A3oQPa/IDPTQ0kBjBrRQFt1a8lyrBGRVqK4YWmpGE9GYRjUGdB4629AX81xAziuWAuipGRSYgSVjvR9a3RRxKgysrWSJPnYyruSq6UhDQi5iM/GM2H1TdxNplQpmIl/NoTuOiiCMJx+cLyzCpmagMwPfY+XmS0k+nl56mq4V2PKPyBWpwxZdNyp2tDGoSjoLfIaL9zbB5O7myRfO4x9uPaqyDnUoZqB8eyk2unlmayfOlAuiKd1ENqGoFniYb4QD9TSwMYOuWhDLmaxZQTMo+ttroYd9szVce8kSLlioj8cYGGImwRZaWmUM1jqJLM9g8fkaDzqdy2ytXKZahJYKZqAbRd1NNFMTFT77LZBkQE1GCeTGYE4mJa11BDMg8RhAqRRBkuahpSS2J2le8Va/h30FZCPpjEIJiwKyxgxGFJDVtde+syggQx2HOoIB9h3/+NxE8hpl+TW0MQvdTUTXlVxMDRnmbDID9QxXuIlmakHBGESBh8v2z1pCS3M3kRKQowChbI+poxPnPRB6MSSd5X7s64+W5rHYcBjGwFIjalTsaGNQlXRmWtHfecVVSDOOX3zf10oXWu08tcm73hVFuRiToaa0q6jZo4k6cTYUM7BVQqVFohmVfYz04EdBHr6mIjh8H+/44WvwRz98DfY0Iyy34spFMZZC+KDji/q4idpxqoyoqRlQLwnrzs7QCuh3wQyKCU2iUJ1XKoPQSfIHiAyoGaprgoyO3U2U60Jz9RCrbSEg64l3nukmsjCDJNNyJrR72DfpzMLGKMJFCcjdTO0wR2UGNL8q3USagEwVS4F8ThQ0gx5uomFCS8mN102ynppBN8lUET96hogZRIGHxWZo0QzENWxEvuoYplcqEMUtxWe+cXQFTzh/TpQu7yUgd3IB2ZaB3E0zFdk4iJvoRU88HydWO7hL9pAmJGmZGZhMeRzYscbA91hl0hn5OwmH983g1192JW68/zQ+f8/Jwnuk+Ne0yUthpOQfpInUjIJSfR4Asva5j3m5iPSDTUCmh4vcAzZmUPM9mLWJaqGHCxcbOG++jj0zETivrs3yyv/xRfzxp+4qvc45x9cfOat+tzW3Afq4iYwoq+Mr0hhU7OyAXATPjYEPzosLHTGDyPcKrUA7mpuI4q+7SYbT611c85ZPFiJ59PHq/9vea0Q+5mqB0gz0iKrAmHMkIHssv1bdNLO6iVrqXO2LuNnPABDzbV3LM7AJyKfXuwNlvZvoKsOYJ7JZ8ww4VxVLgQo3kfxZDy2tWRhEL+ghrrHWgN7GLOm9VpxqxiBTPRWW5KZIh9rQydIpgGEMagE2OiKM/I6jZ3HlgXkAKJSjiIKiZqC7iULfloGc5hpgD2NAG5GrDi4AKJbfB0gzKC7Vg4SWfvzrj+L17/taz8/o2LHGYKkZlUpYJxXMAACee+leAFCtMAldmeFKSWfCTZRghhb+JCtQzNAaWpprBpvNM1AtFkNPxrNru2MyBqFXSrjTd2N7ZETTmQpX0YOn1nHE0lf3y/efxsv+2+fwDekr7VWbqOwmEp+pGe8dX20XvktHVdLZrCXygh6EkoCs5zhoLr5jZ1tY3ohx34m10nGJEdh2q7Rzb4Qio5k0A7Osc9c0BqksR1Foiyl3tRYBuW8Gsna8hgwIoDXGJiD/x/d+Fb/xd1+3fmcvKGOQpNZjmwIyhWESU7IKyAXNQD5Pfdgaodjbwu5qAyD1BGI1qdqoteMUsXT5LjTCUmjphhYEMqM0gzwKb0aGlh4728aZjRhPPjhfOF/xM9UmIjeRSEyLgvIzK85duFGjwOvZl4EqHjz+/FkAKD2jqQyi0BFYqsea+Je7T+AfLBpEFXasMdg7E5USiLIexmBJlpIwd81duZDrgtdGR6St041XkQgVSWedOEMt9JR7oR9iY2dBxwUgIzaKN5oe/MhgBpHvqR0cXRMAOFVhDDa6qXVSkvGgGu950tkgbiJNM9BcPCd6uYmMUgO6m0i8n/9NknKEMvmHonfEsfPdqHJJxJla6G0LPhkQq4CsuYlma4GqTaQb28AvagYZl8zAYyr8NEkzbVerM4N+GchlnaYZ+Yph0bjp3tCcOLXWLW1wBgFlxOrhnDULMyBjoATkAfMMho0m0l13sXYNhcsow2v/8kbc9MDpAjvc6BaZQVdjBmerBOTIt0cTyR7otx0RDPnJF0pmYGgG9SAvW7PeSdR3BRa3jcphskTaFc5dju3CxQaakV8yBpR0pqOq45yOlXYiqx0M5lLcscZgaSasZAam2AKIRDTGyoXkyA2hh5auS2ZA/kHSAebqIWqVArKP+cawzCAtvVYLPFmUTc9Alotz4IFzYfTMwmJAbvBsIjLRcFs0Cy2StJsyY94Jke+Xks6IGUS+GBuNmzQDKzMwFmzTGJguiFA2twHyZKRcdMvdRJ0kU+4j246U3rNqBvR9ETG8uFy8jRXdRElKSWe5OyHW3B264VXiaBUzUHNXYwahr64jjdEUkJMsswri/ZDrJ1UCcl5eY1Ur02yLEuoZWjqgZqDrPR1DMzi90cU/3XUCNz94pvB9rW6qikqSZhD6QjMwmcF6N3f1XrZ/Fs3Ix2X7Z9X7tKjf9MBpMAY88QLJDErRRL6a58IYiDkbeOVaTqQl9kvI1FnLoaVGqe5SahGQowHcRBTmPmim8o41BntmotLujxZNz2IMPI9hoRGWogzy0FJDM6jl9G5NE4qqQkujwMN8PSxkR1Yhz0Auu4lEUTavkhkAwuiRa0oHJdjZjEGrx2JEiyQxhCQtLw4ASnS3naTKvWbuBI+vtAvnqqOUZyB/n7MYA1GOolzuIQ8tLUaCqd2/cVzOeV9m4DFxjffP1XB8tSMXF614m5GBTG0vfaNqae4mGkZAtmkGfqEXh81NlGTcatz6YVABmTZC5MKzleruppnUTTZvDPR7UmAGaZ702UmKuQStOMWGchNlKjJwvi6i+vQdsWJ+kY8rzp/DN95yHS7a01Tv06L+gVuO4IrzZvNFvpBnkM+1diKE/Vntc3HGcXS5hae95QbceP9ppSX2Mwa6i/LQUhMPG8xAlLA2NYP+biIySoMKzTvSGKj+AyYzqMicJSw1I4ubKC9hDZgCso9OnGGtnaAZ+fC9coMXzrkKLaWEpX60nf6+YAyS3G9rFqFKNc2Afqddh3l+gN0Y6NmVJsionpbXpmcJa4126mMwH/6cGVQLgGZoaV6Kw9AMfK9Q7gHQmEHgF+5dzgzKlJ3WhnZFaGkj9MEYwwXzdSxvxFhtJ6WGLyUBOePwtYUwKYifZWbQv1BdUUDWGf5GtywgJynfFDOwhZbaBGRaqMjoK80gzXB8pY0Pf/WIlaUOm2egG4OCZpBwNYZOUgxVbnVTzVCI8wgDD41I7N7151TffdtAi/pMFOC/vuoa9XqxhDVTn1ttJ8KDQEbSE0lnj660kWYc33p0BWkmusfZsvN16IbKzgzKSWdhH9cTkDODQe/BjjQGPmOoh15ZM+DVmgEgfISmmyj364lJstoWoZnNKFA3Ub/pppVPMpG6Xgs81XTiMbkrrgJNaFueQejLfr/agqhCSxUzyP2jOiIpYtuMQbtbXIB10GKyrIxBBt9jKr6eQAu/njRWN5mBYQxsvnu9kY2eYNRU2ddZ4bOhx0q+ar18th5NROdiLpDF3s12NxGVgDh/XpSkePjMRk9jkEhjIARkuUhm+e5VNwqx5vawgdxfpoBMmKsXi/HpZbQ301JRF5D1uafOleWN4IG8CimNr5tm+PBXH8Evve9WPHhqoxSGHPpMhWYPAt0YmCHX9HvXxgzIGMQZuqkoR09zkuY8fSc9WzY8//J9+KUXPx7/5z88X0X1AEXdLPQ91T/kzHoXa528lhgJyLQJeUS21SQ90nzuzm7E+LUP3y4MmsYMLlpqYrWdFNYpysLXEWr6YRXIZT3oPdiRxsBjTO7aB48mAkSzGxsz0MtRkBtphkJL4xSr7US5MEyLrEI8ZVMPAHhspZoZ6PXw9Y5qOlUXYWoWN5FcELOMduXlXc6emcjODOLqiUETmP5O9B0uX8PILy7I7ThDPfCL75ExWKmOJjI7QNHfzFrdRLI2kWe6ifIMbN1NVCUg64uNNbS0mxu2CxbEfTy63CrV67ELyDkziJNywlTRBVIRWmphtfoudv9srbBA0JyI02xzxiDNC+flC35+PDrtnBkUGWCc5jW8bj2yjMiYi6pN6sDMQF/ki5uktiESEza6iRqfcKGliAKWNwbSrvsjy62CYGxiaSbCf3zxFSrZlKCvJZHvqffPbHRllzNiTGJxJtb5iExwVczAuA43PnAaf/Plh3DbkWVsdFPVb/nQUgMACuzAphkM5CbaDcxAGIMyM6hKOiMsNqO+mgEtiM1aoGKK1zqJqjFSrs+TPyxkDCis0gb9Bto6qkWWomxkF0KNGXSSVD2gOiqNQY/QRlpMzqznk8eMJALKu3/BDGRoqeoHkaIdp/mupIdmID6fGwMVTaT9TayVsNb/ti3rzXtaO8BiNJHBDOLyPdNBbiIAuGA+7yRFUUKAhRmkGjNQtYn0chRcfbc63z7RRL5XdBMR9s3VVPVQIGfBwmW4eTcRkFfa1c/Vk8yA5k1kMINY08aOnW2XXJZAubBhL+gGk0K5fVkWurD7177vzHpXudE6iWBfke+hEYmx0HU/uxHjk3c8iu9+8gUDjUWHGVqqu2LXO4kKU6Xy5ooZyMVcaQaloBMxttV2IvN1xJgPLQkdQ48oSqyaQbkXtfn9KkDjnGYGnnAPmA23q5LOCAuNsNAflWrTh3JRCX2m3BuUdNZNhGYwq7uJtGPmzMDDUjNE6LOezED/W1ueQSh3CGasvTiGr85TiFPl27d3JrKGlvaKc++oaCJiBlmpfDWdI30+lfHeNYMZdJJMaSb752qVeQZ1bQHvxQxiam5jVMukcF7z2KrkhOEKKjADy0NUcBNJZgCUI2xorL7HlIDs6dFOumag/PK6catyE3HpWqlgBnM1tdPTE5ziNKvs0dALenY0GW5b1VKTGYTafWhp7hzTZQmUkxTVsSuuP0EP5Y7TvPMgRQwR9HlO4nLoe4WWoQDwoa8eQSfJ8KPPvrh03H6gPhaAOPc9upuorUUTyXtCz9LRPm4imhOrnRgb3UQZ/pwZaMbAphkEHnr1h9YrIewKZgCg5MMFermJIqx28mqUqt2f/K5nP24v/uXuEwAgQ0tFnoEeNVDzi/H0evYmYwznzdWVi8QGnQFURRNFBgWkXSCdcyIFZNsDKJhB2RjpflcTihmQMUjLtBTIFwQ9YkpPOqP3iBkdXGyIpvGWEiB6zZZumoExKDeNLpJyLsItI5MZaNnPesJglZuoqBnYo4no++ZqeStEUzNQ10KWBiEKHyg3VqbCRPVMWbpWvaKJzCzTfAxMRKqluU6iRxMNE0tO0OfBSjsuRQMpAblLhqJ4PbppVljATc2AXjPn28duP4arfusTuNdICtTdRMQMZqIAacbVc2K6iXRj0I7zchR1zU3EOcd7bnwITz20gCdfmGsBw4DubRiIhDbGJDPoatFEhmbwmHwGqgRkmo8rrQStOFP3erEZYibyC1nIacbhW+qE9XIT6dWTz+loIo+xXCTSJmSWidIApvBJoAY0Zw1fGk3wX3/ZkxQ9Vglmqcgz0N1EnJfbT6pm1fO1Qmy4CboxSzMh1rupWihVV62AIfC9QjYj3Uta/Ek0tGkGSzMRzqyXG4L3aq6iQks3YlXa2Ca00fHasW4MygIyJUrRLseMvopTXnAJkW6T+6OLi6koYZ1H64gxpCVD1Emq3UR9NQPNTcQYU7qBbbdM50vGwNN2j7HmJlKVQaUhXmiEPTOQTZGQmMqsLI9OaEZFY0DnPgwKxqCVlO53LiBLVmqwsDgthlDbNiamS/Xh0xt4wwduQzfJcGy5uGHSv0vvPQDkz6sZWqo3rLIxg3ac4luPreKux9bww88cnhUQ6NpQf4OFRohHltvIOAohqLpmQI8faVqmUaTzXW3HaHUT9RwxxnDRnqbBDHip62Ag3VJVWNkuZsAYu44x9i3G2D2MsTdZ3q8xxt4n3/8yY+yw9t6vyte/xRj77oEG7aGSGZi7Kx1kDChqxqy2+MQL5vHjz7kEADBbz5PO1jq5gGz6zc3szfPmaj2jiejz5HskCpx31fJFF6MeeQZpRZ4Bfa9eXI9AC5JtZ0oTOM04VtqJyPq1CMg2obYUWppmyhgelMag4PaRizntqOi7dN2GrkWinTeNR48mIvFaZyV5NJH58JVde4XroxkDINcNzDwDQuR7qtNZICOvQp9Zq5bS4kZ5KDaIXs92ZjBbD5ThA0TUSR5aamdC/aCXVF5tx6XFnM6VAg/o3niSBW3GGLzhA7dhTSs5raOoGeRF5QDdGKSF+Xu64CZKleuU/q7VTVW728vPyxPMhgUZabo/e5oRHpaaAAnIFA5uuidrYUXVAmIG7UT1ZiaY4aWpTTMIeied6cxgy4wBY8wH8GcAXgrgSgCvZoxdaXzspwCc4ZxfDuAdAN4u//ZKAD8C4MkArgPw5/L7esKvYgYysqMKi3IBJhE5r+OeP+RvuO4J+MMfeiqedMG8EsDWNQFZ0WTDHUG75vPn6z2NgWIGciw08VV4XyD8z0ma4b4Ta7jtyHIpmohcA7YHkOqnm9VTyQ9rdRNpE/jMehdxmhVcBoS6csdYmIF2XU6td8FYvqAWBeGiPtCV1L8WeErANH3ugdajmha/gpvImoHcQzOoEpAjmzGocBOFHtIMstMZlbj2ClVLTQF5vhFWPsC2iJFGKK7RbC0sGKp66CPjwv1GHrhhcw30RXWlnZTcPJ4ZWqoZIyqS1opTlVtjdRMZ7pFvPrqCZ16yR463+v6YOQF6VEyRGehuojzcWq0NSaqer6r8gkEQeB48lt//pZkIj8ide56BLEpYm/eBAkKqBeQYG93i3Duw0MCxs/kaUhVaqrurTeil9LdSQH4WgHs45/dxzrsA3gvgFcZnXgHg3fLnDwB4ERO+nFcAeC/nvMM5vx/APfL7eg+6SjNI+zCDBjEDmZlnuIkAEcHxymccElEqgYfVdowk45it2eu506JDD8v583WsyAgBG2i8SzPi+0hELmQgy4ft9z52J974wdsLJawB3U1UPlcqNUwRIkfObIBzrqpm9hKQAZF4FhsF2ggq+zJOCxnAheuSiE5xjdBXD6W+ANqMARUY0/3RALQm8cXmMWIMuQhNMe2dOK10E9Hrzciv7HRW1xZcEpF1gxsUNAMfaZYpAVmMkxVKfqhY/i4xg3K/hvy6lK85LWBztaAwtkbkI8l4Ic7cNH79oN+TlVY1M2gZ0USAuN5CN8pwxXmzKjPfhKhkW4ykooJ3ZbdJ/jttXBpSVNXdRPr81VvZbnQTcBkMogvIZFho0d4MzPyEpWak6njpAnKcZaW5VQsrBGSdGXSLrPTAYh1nW7G6DkmWWUpY59FrNuiRZ1vpJjoI4GHt9yPyNetnOOcJgLMA9g74twAAxtjrGGM3McZuarU2KplBlXgMlIvV2Zpy6IgCT+28iA6a8fS5ZiBep53S8YqIInoIF01moBkmouGPrbSx0U2UrpAzg6xSMyBmsNJO8OCpdbzg9z+DL953SgmBVaGldF7LG13psrC5iagSZe6OsZWj2JC012RR+s/EtPQCY2atfFXj38vLUcRZhtV2jNuOLOOSvTMAhJ+VwoCr3US5376fZgDYmYHHDDeRJiDTa0lWdhORG26+EVaKvUmalXZ/BTeRtnNsRlQfR3d9DccM9Ouz2o7LmoH8ldyYNe3aUIOnlszUf9nVB/C0ixdLxzDdI90kr+9vcxPRo0v5CzOmm0iLPIt8L4+CCjzFhAvMIE5VLs/MKMxAY6YAsGcm1NaFYm0iGzOwuYloDq604hIrvXBBuFcpIqmquQ1QLQ5vFzPYEnDO38k5v5Zzfu3c7EyFZlC2oDoW+gjIJvTFVheQgXImLL1OuQZfP3oWP/Dnn8fdRqMKOuYeZQyKwq5wlwh3w4nVDrpJZtUMqt1EOTN45EwLnANHTrcKArK5GHWSTAmmp9dj4SbqEU3USfIdkNIMtPDOlqS9vbpilQTkoJxLkJdoKPbe/fBXH8F6N8W/kfoOHV93E5kLPi3IC43QGorZjot5G3QfC8zAL7qJMg4lINP7Sao3tyEBWfxPrM22m4ttbqIKAZl+NosGDoNCnkEnKc0lOqe2lRl4KqKsHvp42w9ejV988eNLx4iCvLAhtXWd0zYBOlpxqubuhnLtyI2NphnQ3NB7ESw1Qy3sVtMM4ryQXXMUZuB5hVDrJS0xTS9UF6flOlH10G4M6PxX24kqf0M4oCU9ZjKizlzXTKb8xXtP4T+9/1b1bG9XNNEjAC7Sfj8kX7N+hjEWAFgAcGrAvy1h70xNCycsCq29jMF8XXQkKmkGFcxAd8OQm0gXK8XxjWgiyQz+5NN345aHllU/VQLdGBKz121uIlkQ7eSaNAbcZAbVAvJCI2cGZPQE5dTousV/ScZAaAZ2N1E9yHdcej8B87psdBM0w0BRWTOJDNAF5DwKRK97A+glGljBhfTuLzyApx5awDUXLarvpXLj/QTkhYaodnvfiTVc+7s3KDeayLrOz5muR6HTmcEMEukmCjTNwNYDuaWxEv11HZRprYMWw5laUUCuW+b+KNFEnJd9/kpArtQMspLobkJveGT2rLC5iWZrorLwuqEZ2KKJaJ4Decg4IJmBnIutbqaYQa9x9oNeKBHIN3LifPIS1oC4XvRsA3nSmVk6njYtK+24kP0OiFLWgCgpTxuHUtFI41n5zLeO44O3HFH3a7vyDL4C4ArG2OMYYxGEIHy98ZnrAbxW/vxKAP/IhQm7HsCPyGijxwG4AsCN/Q7IWNF/TRBFw6qNAWNMNr6QNXg0ymlDVDAG9miijrFDph3lnY8KRmDSRnoolICsCbskUoW+h5NrHcQpLzADlWeQFhO+dOjMYFkzBnpMuCliduIMe2ciBB7DmQ0hIFs1A0tBuHpguImSTAlieumC/NjFRYGiQKIg332ZtX309oP/fNcJ3HtiHa957uHi2JSbqMjY1DkmRTfRnY+u4uRaFw+fbuX5JtoDb3MTFTSD0EcmBWTSDKiMiFm1tK0EZPtCCOTVWXUozaBuZwb63BpeQC5+3kwyVAJybNcMxC646N4wUdPyKuh+5G4iwxjIjPrI9wq9B4A8TFK/vwsFZhDlbiIZhhz5nqpdVJcNozYLaruqjmdhBvT9650Ei41QuaX0fgY6I9czkMmtSrhgoQ7GhJuoqqqCyaIpmZYM50o7HqjLmo6RjYHUAH4BwCcAfBPA+znndzDG3sIY+z75sXcB2MsYuwfA6wG8Sf7tHQDeD+AbAD4O4N9zzgea1XVtYSLYmkCYWGyEapHszwyKhcKAYtKN/j8t1JSFTDBpowottQjI9N2B7+Up+GlWiiYiYclWjkKPJtKZgZ4taqaxU2P7pRlR1XWw0FJ7zRoqOVzQDHQ3UVJ2E5FmUaUZBF7us/3wVx/B3pkI33v1gdLYevUzoPsw3wjRjrN8Q5BmectJ7YHfP1fDMy5ZwlVaopJeGt3KDGR+iFm1tNVN4XtM7fStrUAtYdG0QMxEZQEZMJjBsAJywgsGplbBDFQ0UaAbA08lndV77Lj1pi75JoB0J+P+SBE18r18N1/SDPKqpeQm8j2G2XqgAiZoHtZDT2gGWsmIzaKkGTTLxoCel7WOyBnYJz0EevOlQqc+rWw8FcYkhL6H/bM1HDvbyoMoqoyB3HAst8R8VsagFWOv7HzYK1O5cJ4DfaoPOOcfBfBR47U3az+3AfxQxd++FcBbhz1mTXNZELJBjIHWLLuqvSPBygyMWPg8mihPGjlvro6VVozVTjmqqFdoKX23vkPtJpnKQKb3zXoxOhqhKLW90oqVyGW6iUw3BTW239MUdY2qQkt7Jp1pYjFRZfNa6cee0zOQkwxz9aC027ExgzjleO23HS4tQlRuvMpN1JHn2Ah9tJM0792QZYXy4QTfY/jgv/u2wncUo4lkaGmmh5ayQq0lpRnEKeoViwJBuImKc3e2FuAN1z0B1z35gkKzFmUMCrkTw4eWLjRCtfPX6xIBxXIUlF1PoJDrdpz1NAa6r1wJvzIJy8YMqEVkSwnIYo7QZki/tsQMmpGIWqPFle5hPfTRkiW/m7XNu4gAcV8rmUGUh5YCwhjUAg8ztQAPntpQbiIaf6RtqIBcPzKv44FFEV6aphXMgOaSNBbLJWaQYO9shIdOb5zb5SiAosuCYFPdTejF6vTIBOsxdGNgCMjkA7T1Iv63zzuM33i5SLWoYgYUTbSmBOR8opgLsarQKc+ZdkE2is4Yw3w9KDMDo5OUDgpTpQ5RZlMX83p0Ei20VBuzx8T5ieiIwNoiUWkGJCTKCJFaIKg8FScDtM51mmZQDz2VGFgYW+iVylEUablYuGjHeEbNAa4eqMhyzjrMchR5c5s8KcmWdEbuFDMSLcs4/uXuE0KzSMsbGcYYfv6Fl+PS/bOlpDNxTtX3tB+6iVgkaY2vyjPY6KYl1hD6HtZoDvYzBmnRGIR+hTGQocKhn5dpMRfxOBUZvh7LN2fNyFdzUD+PRuRLN9E4mIFXMJZUn4g2XuIzuZuoFvjYJxtN6VFytmrHBDMP4sKFOo4u55pBiRlQxju5iVqGMWjF2EfM4Fw3BkpEKyWdDcIMyE2Ul4CwYSDNIBF1dfTF86dfcClede1FCIySx0B+82qBh2bk5wJywjU3UXE8eaw3JeHIcLmKCAnqxXxWo46tHsygIzuW7ZmJcGqtUxJTCZ501+ghnGbIoch+TtAMy4uffmy937G+Y9Kzr3VmUA99eAx41bUXFXZm6th+UTOg7yZQ+Yp66KOTZIoZ6F21bGxIh5l0lkgXnl7ILMl0N1GedFYP/RLz+fgdj+LH33Uj7ji6IgvyVR/frhls3k1ErjlT8zHPtdVNSu7I0GfKR9+wuCoJeny97pKNAr8cTURuosArJZ3pWGuLyCe6Bs0oKIrb8jwaoY+21AxGSTgDBIud1Z41chPpzx8xg/WOuF77ZmsI5OaGynsXQoENj4FpVCnxzObCBMpuopIxaMfY04zgscGjicbiJtoOVCed9TYG8/U8DE0vAdHrGKGfJ7mVo4nErtZWD0mnrwR9h9SMfK2hd6p2H+YuraUosHifYoirYqfnJDOgiJ+VVgzPY/AYkPGim0Lv1PaEC+bw8TsexWwUVCbvUYkOkxnQuO0Ccn68vEJpLm7FmotMlOblhb8LfdFh6m9++jl46kX2YmO10MdKKy48ZHouhnCFCZcC53nznSTL++32WoyBYjXcyM9DS/PdoYiyoXOkPATKYQiN6KrP33MSgHiA+81dnQXmmoGWVW1xEx1faeO8+XrpdQAq67seCqG1sjZRnJb6AIS+p+bg0G4ixQzKob81eY1oN0wZ2DrWOoksU+3Lz+TNjYBc+6iHghnofYo3i998+ZNVRB8gni/fY2oOA/nOfU0yg+uuuiDPPwnszECUsJDnajKDxTo2tHIaVW4iMrK0wV1RzCDBfCOwZj9XYccyg8j3wNhwSWcAuROKuxXTX6qOIS/4TC1Qiz0ZjjyaKLVG9QCQPRfMaKJcDK6HeYOedpyp3YG5EKuIDjkeuuFVk5x6wOp+xFY3VaKbGepJndq+/fH7wTnFnduvSU363NtxKqp1aosI7fgozyAXkMthrXVJsaldIZ2bXo0x7wss3nvuZXsLQlthXFo0Ea3Z+m6Z3BBkzI/KDNI4yfMCbK4xHXp9GFWojucRbKHMM9DzCCg5y5Z38aX7TsmxpZU6DaGuzTH6uduDGdz92Cqe/XufxntufMj6fXFSLN1QyjOQv2a8yP4Aca2JnfaKJopkvkymdWOLAtFIylbSuR74hSY5+o6eNCaqo1RXzMAvuNCiCTCDi/c28bh9M+p3z2NYaoZFZkBuIhm99IIr9uO3X3FVYUxmKDD1LKfx6qDwUqpRZGtuA4j51UnybmlnW7EK+52rh9YchyrsWGOgZ50SBokm0ktQq+5ifZLOdIpIhkOPJrLF+wOQi72dGVB7vryBex6ZYRonyh6m8RAVrPKFzlk0g41uonZ4xX4MuRB89cEFzNeLgpgJYgbkgzff2+gmSDIu3ETEDJLi4kjnT0xCNwZ6JzliBqbbrHJcUjOY08JW9fOsayUyqGpmNx2CGXj0P4Pv5RnIem2iWHMT0feTm0gX1I+vtnHviXUAwthXdZcj0KKr93YoLi7FTceND5wG58DbPnZnobqnPq6CMaiIJrK9F8qwTaA/M6Bj6QKynn9AELqKV9Bt9EV8UUbfUR0lek80oco/R/eQNIP1MWgGNiw1o4IxoOuVZuWQb6tmoNV1AsouMUo8e0iWsi6XoxDfmaS80AHvbCtWLrx5WWzznGcGAAo7a6B/0hmAgutCuWz6JJ3pxsCsq683WSn9fVhmBnp7SyFm5uGHyhgYC7GKHpLjUcagIkpCaAaJij1OMo7lVqwyYItlDHINI/A9PP+KfQCqF2ASaikCSUcUeGpsghnIRcuSZxD6+Q5RlLDODWEuIPeO9iqMS4smIgZk9j2uBcVa94DsP6AYyGDMQBiD3KgWNAPNuACQHcEE6wu1uXfj/acLY7P1MyieX86c6HjFaKLiA3/7kbPSDZng9z52Z+n7qGy4WXVWnavmEitrBmUx2waVlR7n17gWeDJB0NAM4lQyg/y7dRa42JABF+1ENL0nZhD6hXmoM4NWV2QgjxpNZMNLn3IAL3rieep3/ZrUjetV04wioZ1k2D9b0/7GzgwePi0YrDk3Am0d0ht2nW3FynMw3wiHaj26o41BLfAKPvl+SWeAsVvpywzE6xS7D6BQHhco1vUp/325T7OeXFYPfPU9bW2nTYsoRS2oblPkJpKWf7bKTdQIcGaji9VOopKnOLdnwJpVV7/9iv19rokvQ0vLzCDyPeWaakaB6qlbCC2lME65Qzy9IUJwiTLrPs6T0q8/SPZoTfq+45Qro1dwEylmUDwvvTNZ1aaAQJckkMwgf13PQM6b9dD3k3itbyS+dN8pVYuHxt2LATHGVGkDZQx6RBPdduQsnnHJEn7i2w7jg7ccwaOyCiZFWFHWdxUzMHMqdBQXvh55BiryLtUYMXUQzMfOOV0jv/Dd+maHsnpNzYBCS82x1eRGa1LM4PXf9Xj87Hdcpn4vRpoZz4VNM+jDDPbP1hD5Hh6UzKBctTT3UJjMgHJoFhqh6Ii2O4yBX3ggBnET6ZStf2hp2U1UD0Q4ni78VmkG9bBMh/UQ0kaUu4k6MhYdyK3+Qbk7IF2EJjpZ/qp6K3P1UI3v4j1N9fqCRTPQezgDwAsev79wLPs5pbD1YK6FOTNoRn7Jpab/HPoMUeDhW4+uAAAulT5Z0gw453j/TUfwxAvmVJOcXqAKs0Ce6VsQWGMhJpv3qptmuVDdq/45DGagbTr08EJKOmuqiq152Qa6pp0kw5fuO42nX7wkfo9TURywz/FpsaRjV3Vva8cp7npsFVcfWsCPPvsScA78/dcewS0PncHTfucG3HdiTXMTSffcEMxA15P6hZYCeZlycZyyezdORSluXVcBinpEHopdjCZqREVmUNOYwVonQTvOKnWmcUJ38ZkbDjqPtU6+aHeSDHtmdGNQHKPnMVy4WMeDp4Qr0WSt+saCNmBz9QBnW7Ey/Bcs1Pt2RCscc6BPTSl0NwswWNJZpIlvVJCtKhyVJuZsPY+m8DyGZugXWvFVuYnqgV9KOtO7iNEuGyjW048MY7DRNZmBXHArHsR5jclcvDc3BvMWZmAWnDu42MDv/cBT8IPPOGT9bnqQaXHVIZiB2JXocfW2pLOa3CGS3/wy2XyEynff8tAZfOPYCl7z3MOVnesKxw7yZh/EDIoNbSi0tHiv9IzhvgIyFaTzWGGn5qvgAg+xjE5qaNnGeXRVbhwfOrWBp8raSq1uai1HYYJCL3NmYBeQv3lsBUnG8ZSDi3jcvhk8/eJFfPCWI3jrR76J5Y0Y951YVzrNqMyAms/bUDAGZjSRNl6d+Zrl5AlLzbzMSmgwA7NuEl2rfu7UcUJniuZzcZFscv/gKbHLp1yUZuSrjabNqB5ayjue9SpHQed5yd4mzrZiPLIs/ubgYmN3CMjAJpmBMUF7+aNtmgEgduRUTKsT93ATGcaKjkufr4eeFk2UqigRWhTIb9iyaAbNyK80Yrpb6xIbM9B82mahPQB49bMuLkRPFM5Jur5ocdWhawbNSEQLMWYmneU7xCjwZdVPMZEBqnuT4a+++CDmagFecc2F1nHYxkXINQPNjSKNl+nWGCbPgO6L73mFonUmM+immVqA4lT0d5iJAi1PJEY3zbBvtgbfY2jLapz9tJGSMYiLAjnh9kfOAgCuPiTCcH/g6Ydw12NruPnBM+L47TjvClYRTdTL7TG4m0huvAwBWX9uMxl6S99VYAbady+qjQwv5RnokVY66yZsCTPwqpnBvtkIs7UAD5wUGx8y4vXQUxs3W1TWoaWGyr42NQNdf6LyOhfvaWKlFePochuN0Bduot0QWgpYmAHvn2eQawapmlj9PqsvroCI76f6QBtxdRyzjRkU3EQyFhowm7XIXfpS0U1Ef9eOs56x0/Mak9GZgdIMLJmQVRFRpXMKiRmkhYeQxkdRlc3IB2MiSc1Wmyj08/IMh5aaauEIfQ/Hzrbx0duP4QefcWjgGHF9/POWYmgq6SywGYNiuY8qeBoz0D9azDMQTIP81J04w3o3xUwtUG6zE1ILWWyGUugs1jiqPEcZkeTZmIH2821HzmLfbKQiUl529QFEvqf0o9V2ojYlldFERvkJHcMKyN0kU0EEVI6C5sSL3/FP+KNP3Q0AhYgrStiia7ug1QMyNYMiM2DquwhbwwyK2ek6GGM4vK+J+yUz0HW6uXooi1OW773uHi0xAy0D+eyG6Cx40ZJgBkeXW7hwsS6ev93CDPTQTADWlH4Tet39zgDMYLYWqEqkhGYUqD4Ea+0exsCiGehspB7mxqIVp6qByTUXLeI7Hr8fT5U7u5ahGQC9m3XM6cbAygwsxqBHJqmOmswlEKGlBjMoLBJ5LSc9tJRYSeDliXyX7s9ZSBR4uOf4GuKUF/oV9B+XZgyUZmAaA7uAnGhspRcCjQHYBORQ5k1wrlfczF0VdP9OyFDPhUYoNjRJKgrV9WUGwoAGhjFoGNE53zi6gqsOLij32mIzwp/92NPx/7zmWgDC1ZILyPZoIn0jWooaK/jHB9QMaJ75sqRznCHLOO47sY4P3nxEnYcyBqrvsPh/SSsLXWQGRR1I32gRtoIZBH3Y0uG9MxozyN1i840AzdC3ukIPLeXPrq3tJSA2dmdbMeZqARabEeKU476Ta8qrMExo6Y7NQAbERaddFjBg0pk2QeMeOQKAuMEf/8UXFFR/QDzYxAzWOmllVE/NygxyNkLMJpPNamjXetGeJt79k8/CfSfWAAjNwPdYYefYa8esM5mDSw0w1iOaKC67iXpBRHClMivbHjUB5IuhKFFRLIUhEgZzY3DZ/rxZOU3y512+d6gm5npiVB5NVIy2oXIUhHqYR/8A1bkVBNXe0mPQn02dGajyy/L+6NFVdH0oSmqxEaoNga1QnYkDCw10kkwTkGVBt1pQmGernRhPbM4V/va7rjwfAAntiRKQkyxnZDoGZQaDGoPYYAadJFNd1PJExLwGEB0j8sUzsqQxg9BnOLDQwNWHFnD1oUUVggzkQQBFN9HkmUGxvHl5Hj1u3ww+evsxwZK0Vrlz9bDQxU6HzgxKSWeGm2ixGann+94T63jaRSI4gfJ2jp1t4R9uPdb7HPqd5DSjbuyIBtEM9FaMYnfU+/O6dSY0o0D56dY6cSEtvTg+r2QMOgYzaFkaxRByt1AKn7HCufV0Exm13ufrIc62Yns0kea/HASUwR3GFmZgMQahwQxi7ZrTLlBnBvSerRhdz3EVmEHRTUSCXS3IXQpR4GG+HooS1gO6ieiB1N0X9DsgNQPpJyNxf1kTMen7qRTGQlMYg41Oioz3N0Zvf+XV4JzjG7JhEi0qM7Xic9Ar92VOzoU04wW33lCagZab0Ot50zNvC5pBKDqgUUczgnATFY0TfcdCgRn4aEQ+rv+F5wMAvi41ktDPg0H0ubklxkBnS5aN1eG9M8g48PCZDWUY64GPg4uNwoZWR4EZmJqBFlq6vBFjsRmq5zvNuGIGFE1034l1vPWj3+x9Dv1OcprRCL1CATaRdNb7gdLzDHT//TCYqfmiomCayQ5NofVzprECipoBLf4qtb9icW11U3hecXfQ200UqM+EvoeFhmEMeuQZ9ENdCsihz6wZyASVMRswlfFNfXtpMaEF69J9OQPYM1PDoaUGXvyk8wcaj+3YC5ox+Mydx5Xh1JnBnmYkK6RyTUDuvTHImYFXdBNROQrtNUp0WpYF8ZpRXqKbHv6FRqhCIAc5PjFQM5poJgpKOQdV93O+HuCUHJM+981NEWNMMcqqpLN++R/0fjtOC/k1IgM5VedNupIuINNcp2MtGZqBDlNrM8c2am2iQaAf22aID8uAjAdOrqtqorXQwxtf+sRSLhLhvLmaujZlzUAcgzKQFxphoYbUhYt529Zukqmw617Y4cbAL5RmFklnvf9mmGiiKjSjABvdVOkGVQIVZVpyzpVPUAh3RZGLGlOUFle5S9qIUzS1crnimP3dRDQ56H/ypes7dd1/OQiIGQRx2cWmP6Tkp6XJ/K7P3Y//78sP4dmX7i24AADgsvNyZvDr3/sktOPH9/Wfl8ZlNQYpfvVDt6vrVg99tWtbbIboSPdFXNFa0AQt+pSBTMj927qmI86fSmXPRKK4mceAk2skIEeoh55q2diPpRJMAXm2FqhEIzrvqvs5Vw9UeYrIz6OibJ/3GUPCeWnx1d2cvUALcivOu9nRsTKeZ9K/7KkH8KFbHpGJVsVrSf8vNnRmULxOZPh041YPt9ZNpD+bNmZA0Xn3n1xXml4tEKGlVW5mz2M4uNTA/SfXSxsFTyv3frYV49BSo9Buk5gBuYn0NphV2PkCcqkcRR9moMXn6jH/w2Am8rHeTbAmdQMz2ohgq6yqhxDSw3Rm3V4BkiY3NcRmmquoV1alSK7yVAQGLY4ztaDQLwDQ8wwG1Qx8JBnHRjepHK/uPqDJePdja7jv5DpOrnXUPWjWAszXg0Ja/kwtUB2ahoGtK12rm+L4alvFXYs4drEgLzUjWTUyU9FV/RZjXUDWQ0tVlJGlrg4ZemIK1BjG9xhmZPYs7dr6uYnMceSaQR5IoVehtWGuHhaYQV27ZybI6JSSzuR59mMGdA02umkhpJq+jwzYK59+CJ9743fi4r1NradHUUDWXZ+mcdJLdRAKzGBLQkt7M4OlZoj5eoAHTq0PtQEj3cDmjqMw7LOtopsIyI2B0Oy4YmG9sKOZAblhskz0MRDGoPffmH7MzbiJmrUAG50Ua+3efQXyngt56YY4zVRjF5qwlKhVtbgC+WTwGUMK3pf6ztVD1TRc7wpFE4hgtq/sB5rAccpL1SxpvPpOrBZ4hcSYe0+sqc/93Ldfhlc89cKBksoGHReQx6sfXW4rnzi9Lso6iN4NZ1sxugkfuAYSLY6+mXTmFRcuIGdGZzVmQMdoxxkWG6EaC82jQQryAbnxoU1GsxYo/YCq0FbNa8EMpDHwPUDeKtu568l0OnTNqxf00i2dJFMJn/R9p9fzTHryj6ueHqr8s6+ayBDLNMdK87CYDKcxg60ILdXunW1jxRjD4/bN4IGTG3n59wHKrJAxsGWnh77YWCxvdLHYiAoGk8KKqfTH2rnODOiG064oGYAZmNFE/URDG2YiH90076NbRfNo5982/Lnmw0Qio0m7daHS/L9f7PS+2Qj758SEoElSD/xSxUhaRAa9DvoELruJZLifUSumm+TG4KFTG2rRvHhvE8++dO9Ax+0H3ZjVZMTKw7KuC3Wdood072yEg0sNZRgHrY6qmIHH7Eln2tyj+7OsJeEB+XUmQVQwg6T09z3HYVQtnY2CUln2KqY3Vw9yX32PDGT9vEyjr1cG7YWCm0hjK/R91GBID8DQq9eKcTF1nKqiemavEf3Yev/sSaJX0hnh8L4Z3H9yWGYgjKRvmZuU8Z/JSMG5WgDGxHzX65x100z2Zu4TINF3NFMMorii/siwSWfCTbS4GWYgd3kUFVLtJsoFNEJRQC7SZdtOIfI9tLK0kPAE9BfF/vhHnqYYyKX7ZnBwsSE6lQWewQyyQiJTP5g78MJY6byi4sMdp5nSV6q6qI2KQoMTmeX6sKwF/3PfcRn+y0e/qXZL7/mZ52ChEeKWB88INxHlGQwYWlqKJmJlZkAL2LKxYVDRMdJAN8K8HPSgzECFlsYUxppn9Jq1pkzoOSgiZ0EuvjY3kRyOre0lYPeN6wh8UZxvo5sW5j3NodMbubhufrf+Py3stdDDaqfaGNhCXin5cdLoFX1FOLDQwPHVY0O5Zl/4hP348v2n1YZGByVoAmI+eR7DfD3EgYU8JJXKtKx2kspAF8KONgaKhmrliIcpVCdaTQ4/UWjXd3ylLX/vwwy0LGm98T09TBSLbvPBRoFYLFRYoz+YMXjCBXmc+b993mH86LMvBkC1f4puokFdREBxkakKLdXdRNTTVq+sOBljoPtshWZCDWyuu+oCvPIZh1SxM90lEScimsjvUaOKoEe46JsOuie66E1uIZVnUCu6MkgQLVbcHNAYeHkwAiAMDQUq9Mso1zcuke/hqRct4kVPPA9XWHI6cmZg3mepGQwgzNZDD61uUtAMaJ4QM9Dnclkz8DRmYM+JoJwVm4C8FZFEQPHeVz1P+2ZFUtjx1XbPz+l48oUL+KuffFbFMRm+8oAohf70S0Rewd7ZCBft0YyBL0q+nN2IKzet6vv6jmaKQTecdt4ZtwstOsxKitGAwqkOkxlUuonkd+thf3GSR2fUjd2jlRnI8eoJT0Dv0FITge+pyaoXdBNjqw5DtMHWccscazMsPtzdlKtMXGBwl9Qw0BcCUTPfA3Uq3D9Xs55j4DNVPnqQhdjTookKbiKDtQH5IrTciguuCjpOzgzycQ3qJtJDSz0m5g3nYqPRL1RYZwZh4OH8+Tre9RPP7HmcKs1gkNLizShQ0USUUEZjIyFbn8vqOslrMVMLNNdX2R1EoOAAgl6uYisQDMAMKHn1kTN5QMMooNarL7hin0rQfMerrilEFdE1P7XeqVynCOeEMaBcgyQbgBmUQktHZwaVGcgVzIBuEC2mFH5o8+nRw0HnRYvQZnc8eicxgAq4bY4ZlEpYW3zJkS+K8emhbf3KPmwG9AB6jEpdiN+XmmHlwxn5nnIT9XMRAUXNQHfpmL1ugXwRSjOO+brWNlWFtkodYxPMwNMykAM/b1AjyoT09kfru0PT/VN1nKo8g0EEUOrzXYgm0pgBNVUimMzg17/3SXnfEYs7SJ2LUeSOXMhbxwz6awaUX0DRbYNcv16g6/Ca5x5Wr1ElXAJd8zPrseqPUoUdbQwaBjMYpNNZoFXS7FeOogrEDB5bEcygXzRRQTNIyqGlZzfsoaVA/uCYu8/NhsuZVQyHdhMNwgwMzeCUSrwSC8Mk3US1wC+Uujhvzt4QHii6ifo1tgGKIn4htNQiINdDDx4TbLXgBhkDM1ACcixKsJNB6cR5qYOqaCK9vHm/SLqcGVQJyP3HS+HfhT7XmmZgPjsqmkj+f1irnkvnaRt3PSyWvya9YuuYgTg2Y9XMlxo4ETMYlSHXQw+Hlhr4V1rHNRP0HJxa76rKwFXY2caAoonkAzBIpzNVSTMZJc+A3ETtUg12HbmbSFt8jeY2QB8BmYxBSTPY3CSPSqGlw7mJBhGQG1Fxt0t6wZUH5nHTg2cm4iYig6b+J2MwX52zEMhrkQzoJtKjhvRNh55/kL/mqdA/U0MBcmOg7yKHFpBlvaWcGaRDuYn6GYMqZmBqXr1AG4BOmmEhomSrnBmYxkAZDMu1ICZjZQaBX9rY1UNvS3IMAMoDEudWJVjrzGCYoI0q/OfveRJqRjKqCaXPbHRVQEkVdrQxoMnYilNwzgfSDIA88SdONhda2lRuok5PUSZ3E+UJQbFFQO7lJqoZxiDQfKmbgVnS1tbLuBcKoaUVi4TJDAhXHVzATQ+eGWgXPixMFwTtInsxA2pG0+3Tf5igMwN9ntFDrRuU0M8bv9sEUvLrNsKyoRh0HN00w1w9yPNZ9OqgFWxPL2/eN+O6SjMYQkBuRH6hZDaQG6rlVlyqCEzX0HY/9LpSJl773EvUYqsfu6ob4CSguydtWGpG8JhIwpsbw7gGCcume5xmvO8xd7QxIJrailPVBGIgY+Dn1So3szDRbmO1k2DPbDX1osWejEGSyYQgw+d6ttWtpJdKQNbES2A0zaDMDIZxE+l+2eLEp4fVFioICGMATEZADmSEDz2MgzADchMlffpaEHxNM9AZaGBxE0UBE3OrU46uAnRm4Je+Z9Bx0M90rm3ZdAgYMJpoQDfRKJpBQ1YWFoUCi4u5XuqbQJ+xsSRbpjHhxzW/OeHHnn0JHn/+4JVvR0XglTvp6fA9hj0zNZxc65RyNyYF/R6f28xA88knwxgDYgZpue7KINAzGnsp9DQxiLqbjdf1bN6qeOiSm0h+ZnYEzWC9W0yC09PY+6GgGVQwA323q1/fJ14wB48NLpQOi1qQP4x1xQz6u4mo/Wk/VDIDSzkK4SaS96pWNo6LTYsxGHAu6u6FsCQg9086I/Rv5mP/nO0+V4HcREA+l3VDVaUZVLmCxPcMNn/+rxddMdDnxoXAUtbdxL7ZSBiDCbBjG/R71y/PYGtGNCHoxiDjedOUfogCT/Uj2FQ5igErItYMAZkKxNEN8rRdXdUuy4wmov83m2IfBV6x09mQbqJinsFgAjJh72yE6666ANfIWuvjBrVUBPIFx3RD6CCWJEJLh2AGftEYkBHQH7xQ05J0pkQL2UJDiIm6QR3USAYlZqAJyElx4TWhawb97ntVBvJ8I0QUeLhgofraEhqyqKMeuafPIdOnb1Yt1ZEzg63ZVQ+LwGN9s3wpvHSYoI1REO4WZqDS3btDMgPfU6GOm2EGFM7XSbKefjizUF1HNnnRbxDVV6pXPJgmMwh8kUW82YgcWxvKYULcdNdQqRxFRdIZYaER4s9/7BlDj3lQ6CJiHk1UzQwo5yIeoLEMoEd0FQVk9bpfXNhpbulif2S4iTYTTaRHMgU+0xhomjdO6TGfaO4OLCAbn1tohPjcG76z5KO3oSGjiSItKazmV2+mzGgiHbSATopZjgqxLvRjBtIYbCK/aTPQw4fn+xiDc4QZZEjT4dxE60OWDTZBk7gnMwg8MJaXCKBkL/0GKbdGhRhHcel6+eRhEs5MlAvVjZJnYPf3NqKyXzr02UBuhVFQCz0tmqi/gBzICq5JNlhUWf/QUs1949mZQS/NYDPMQNdJ2nHWNwMZyNnBwAKy5bvOm68PFA3TlP3ChYCcl5UgmFFxKkvZqhlUh5ZOAwZhBlRWYtBmUqOioBn00RlHGhFjbA9j7AbG2N3yfyv/Z4y9Vn7mbsbYa+VrTcbYRxhjdzLG7mCMvW3Y41Mlw1acIuXDGYO8WNfmFija/faiXhTv3qYiYlQqWfN50gJZFaaXu5TE74HHRkqkEaKpkWcwxMMVWQwZ4fDeGfzk8x6Hb3/8vsLxALH4TbpGDNUkAvIFp5+AnMiWo4OEdeoCsi3pLDTdRAHlhPiF15tRniClR+QMqhkUw1pzA9hJUi2aqHpe0w5xYAF5hMW3EfnIOLDeTbSw0WrNIE86s2kGRQF62jCYZkDMYIvcRP7gxmBUN9GbAHyac/42xtib5O9v1D/AGNsD4DcBXAuAA7iZMXY9gA6AP+Scf4YxFgH4NGPspZzzjw0zAGotOWw00fEONZnfJDOQu71+F1jvg6wE5MKCKo1BxU4h96FKo8DYSLHTVB6C0ImHK+OtF7szXWyB7+HNL7+ydDygGNI4KfzQMy5SiT3f99QLVY/hKqhOcnFa6KRVBb0+lB5NZBeQczeRHt74r592EJdqiVT6JmDQaCK9C1ngM7UxEaWi+1fEnKuL6pb9jkfnNUr0F2129LLansckQ+UllhspN1F1MMVWVCHdDPpFEwFb7ybaymiiVwB4ofz53QA+C8MYAPhuADdwzk8DAGPsBgDXcc7fA+AzAMA57zLGbgFwaNgBNCK/aAwG2H1Ggacaimx2l0ECbj9joPdBVn1gC0WtxPdUxWzXtAcIEFEoo+yMRDkKLZpoE60/a4HIrh1kp090f36IiKXN4me+/VL185MOzONJB+Z7fp4Ww41uivPm+l8D3R1kE5D1khahn7uJ9AXvmYf34JmH96jf61oW76BJZzSGOBVVeskNtS77Bnh9Fvq5eojIr06OIvjS8I/C6MzeFvnPPuI0KWsG5Fa05RlMOTM4tNTARXt6Z/num9taZqBfq7kJVy09n3N+TP78KABb49qDAB7Wfj8iX1NgjC0CeDmAPx52ANRUfhhmUAvy8MrN7jJod97PZaP3Qe4kxdBSIK+hUukmIgFZntbvfv9TwDm3fnYQ6IXqOBcukn41akzUgt5Zj+bxAAwVvrpVoMW61U0HYoiKGVQKyMXQ01xQ7xV+PLyADNCunSPwPGVs1juJEoZ7LeBz9WCwvArGhp4bJsw6VYRa4GGtY4km8qsX/KqqpdOC//UTz+xrOHPNYIuYgXatRq5ayhj7FIALLG/9mv4L55wzxoZepRhjAYD3APgTzvl9PT73OgCvA4CLL75Yvd4IfbS6uTEYZHcVBZ76/KaZgZzk/bL6akHODEin0FV9elgGDS3d3yM6ZhBQwh0AFYG1GWbgZ/0/B5QF02kCGeX1TjKQv17vKWFrbmN26VLMoEcYcGMTAjIdowMx3ym6bb2TyFDh3gvNYjMaqGaP540eAll1fjTnbJrBH7zyajz3snJ27d7ZCJHv9XV3bBcGmUNbrRnoz3a/jWvfq8o5f3HVe4yxxxhjBzjnxxhjBwAct3zsEeSuJEC4gj6r/f5OAHdzzv+ozzjeKT+La6+9VhmdeuijnWRqYfMGcl0U6fxmMEg0kRqfDPejUtUUYw7kjKDKGJjlKEYFiaaZFE7ptWFQDz0k2YDMYJqNgbymrTgdiCHqO/9ebS/NctW95kjoC5aRZnxgARkoNtoBhLtyvZsgSXnfhebnX3gZ/vXTDvb8DH33qP75Yo5F2WVky5f5oWsvsn7Xy596IZ5+8dKW6E+TAlUO3ao8A71MS99Q4hGPdT2A18qfXwvg7y2f+QSAlzDGlmS00Uvka2CM/S6ABQC/uNkB1EMP7a6edNb/lPSLMioz6LdLqQd5Fyoq2KYvjHnGbG8BeWzGQEa4dNO8js3wzMAfqEiZOJ4UkBvTt5sjIzhoPwO9cqxvYQa0mCu/tyW01Aa9ReOgMNlIs+ZjvSM0g34LzUV7mnjW4/b0/AwgNlajlk3QK5sWe06I7x0mGCL0vUIV052I0Pfw/Mv34aoLF7bmePKa93MRAaNrBm8D8H7G2E8BeBDAqwCAMXYtgJ/jnP805/w0Y+x3AHxF/s1b5GuHIFxNdwK4Rfra/pRz/hfDDKAR+ji51kWi8gz6/40+KUdlBn2jicI8wY26XunGoK+biATkMYVlRmoBzKzRTYOgFnrIssE8grUpZgaF6J+hMpCLFSf1kFP9f1vSmQ31UPjPh7kPgcEMZqIA651ElqcYjz96HMygYTQ6Mn/ebPXdnYz/96efvWXHovvXb50CRjQGnPNTAF5kef0mAD+t/f6XAP7S+MwRACOvcKVookGYgW8XtYaBYgYDhJaeiEXfg+WNGDORb90hVSVkjZsZ0PfFad4icVhmcGChrq53P9DOZBqNgX7vB5kH840Qzzy8hKsunC+VhADs/XuB/rvfeuiDseHuMW0OdFfUejdBIyyXct4srjwwP1CWcS80ewjIwOb7cjgMBlUfawuYwbajHvhG0ln/v9GTvjbrJlJ5Bv3cRGFeMnq51VUdrvL3++QZ+OM1BrRAUT8HYHgx6w9e+dSBP0tGzjzvaUChGcoA1zf0Pfztz30bABTaeOrZ4YxpWddynvUTa+uhP1CnNR16ZBMgjMFKK4bH2NhCL99w3RNH/o5GVWhpaBeQHcYL6t/SL6wU2OHlKABRxqEdZ0gzsbANwgz0cLnNJp09/ZJFPOvwHhUqVjm+ME86W2nFpR2yWWXTRB5aOl5jMIqbaKYWDPwQX3lgHm/7gafghU/YP9xAtwC6m2jYUuY2zQAQ8fHlaKL+msEwOQaA1kNBuYl8GU20ue59k0KjomjhoC40h9ERBYNFYO14s0yFsKjczqBJZ7afh8EzLtmD9//cc/t+Ti9HsbwRF5pVA1o5ii2KJlI9oHUBeYJx257H8CPPurj/B7cBhaiyIa9v3pO6mHwX+qxQ7z/QKtNWoR56Q4nH+vH1/hYb3RTNKJ0qFlbVvEe0Jx2sDLbDaIgCb6BmOjveGNRDUZsoUcxgSGMw4QQWnRkst+JSs416H2Ogp/CPA5QRHI8QTXSuIBwhkMBcjAmBn/cxePUzL8aTL5zvm4hUD/1NHz9QuoSPtU6CuXowVcwglNcjNhoI1WRLyknXq3IAvvcpB3Dt4aW+n9vxxqAR+kizXAwdKOnMH50ZDIqZSGgaSZpheSMu5BgAA4SW+sOHHfaCTTOY1ozOSaNQ/XPYxZjZjYHODC7e28TFfZqQA5JBDOkm8i0CMlUH3aouWoOiEYrSE/pzt9gIVR0ph8nid77/qoE+t+ONAe2o12T45kBJZ4Gduk4CFyw0wDnw6EobZ1vdkpuIxt8vmmhcoaW6ZrDrmcEI2pEnxWLTLRl4w/eaaIT+UKUoALubKE45VtrJxNnusGhGgRiXNs9+8cWPx08873HbOCoHE+eMMaD+BIN2OrP9PAkcXGoAAO45voY45VgsCciDuYnGrRkUmqfvUmMwar6Jz5jFTcSG3uX/8DMvwrMv7Z8EVji2KVJLofbMRnfLslsHBYnI+jxbmomwNOOYwTRhxxsD2lFT3Z9hNYNxuV+qcHBRNFf5xrEVACgxgwOydeD5FXX3xx1aqgRk2QMacG4iYJPGwCsbg9D3ht6ZP+/yfXje5fv6f1BDKelMCoRp1r8cxVaDntHdykB3Cna+MYg2YQy0yoiTFrAOLAhmcMdRYQxMzeDqQ4v48n9+UWWvXtrljcsY1LWuWN20d7/ccx2FPINNhBgLY1C8dvP1YKDU/1FRCi3VokW2qlb+oKBndNrcVw5F7HhjQMLr+hDGIG+sPfnJOVMLsNgM8c2jdmYA9G7arpjBmIyWrSvWbjUGo0aVCTdR8bU/efXTtiRcMhewy7kM08YMKOlu2FwOh63FOWAMiBmIXe4wbqKtWgQPLjaUm2jYsgxmc5tRQderE2eq49m0NhifNEZ2E/msJPxesndrCqnloaV50hlh6jSD0DGDnYAdf3caIwjIW7UIXrgoIooAOzPohXFnIFMznbbeL9efLrfCVkHfqW7KTcQYhgwCGhvM4ng6M5i2RZfcRLt107FTcM4wAzIGw/Qz2EpmQFhsDBdBkUcTjWcsNY0ZbLa5zbmCYQvVmfCMUtZbiXLSmeYmmrI8g6YszugSzKYbO94YmNFEg+zwzKqSkwYZgyjo3zDbRDMK8Cvf/QR895NtzeaGh2IGcQqqO7pbd2zFpLPhr4HZC3krUWYG9oJw04Dz5urY58JIpx473hiQD/6BU+sAhqtNtFV0+kJpDBYb4aZ2R//+Oy8f21gC2VmrnaRgYKJ5+pS5FbYKVGWU881tDDxLnsFWwey7PM0C8s99x2V49ZTWp3LIMV2zZhNYmonwwifsx2MromfAUNFEW/TQXChzDYbVCyaFeuChE4uqpbs1xwAQBeZyljie0NKtgskMaoGnXpvG0NILFqoj5hymA+fESvDTz79U/TxUNNFWuYmWiBlMB1UWfaNFi8TdqhcQKE5/M0ZRuInGPaLBkBsDMQDGmArhnLZoIoedgXNi1jzv8r144gVzAIZLOtuqXfG+mRoi38PClDCDmmQG3XS6at9vByiiaNjaQIAUkLebGWiMhrru1XYx23PYPM6JWcMYwy+/5Al41uE9fZuPA1ufZ+B5DE+/ZBFPOjC/JcfrB8EMMsTJ7nYTAbkRiIJNCsjbpL2bzADIdQPHDBw2gx0vIBNefOX5ePGV5w/02TzPYOsemve+rn8jnK1CFHhoxyk8tnvDSgnU32FTzICVk862CrYS2jOqINx0aQYOOwPnjDEYBoGMItmtLpJ66KOTZAg8NnUJSlsNchNtplSC721/0pkufCtmsEvntcNo2JWzhppE79b4+noomMFujyYC8micYdteAvaqpVsFW6c1cpE6ZuCwGexKZgAI98hudZHUAh/LG110dvE1IIySgPhvn3d425iV2c8AAGZrrlS0w+axa43Bvtka9szYewic66iHnmpus9sXjmgEN9Errjk47uEMDDPPAACazk3kMAJ2rTF4z888Z0vqzk8jaoGPdpyiGfkDRV+dywgsi+pOgMd6hJa6aCKHTWDXrgS7OSNSaAYiz2Bxl+8it7pO1bgQWEJLz5urYSbynWbgsCnsWmOwmyGiiUQJ690eTRQFHjw2vk5yWwWbgPxvnnMJXnLlBTvuXBymA7t7JdilqAWCGcQp3/XdpwKP7ThWANgF5Hro4+K9ze0aksMOx857ChxGhmMGOULf29HGwLEAh3Fh5z0FDiOjHvrIOLDeTTZVhuFcQhjszHwTW9KZg8MocMZgF4JCD1fbiWMGHtuR/Rxs5SgcHEbBznsKHEYGtUVMM77r8wwu2tPEoaVG/w9OGbwRSm87ONgw0kxijO1hjN3AGLtb/r9U8bnXys/czRh7reX96xljXx9lLA6DQ09K2u2LyS+9+PH425+dniKCgyJwmoHDmDHqSvAmAJ/mnF8B4NPy9wIYY3sA/CaAZwN4FoDf1I0GY+wHAKyNOA6HIVDXGqbvdmbg7VA30U7Nj3CYXoyaZ/AKAC+UP78bwGcBvNH4zHcDuIFzfhoAGGM3ALgOwHsYY7MAXg/gdQDeP+JYHAZEXTMAu90Y7FS8/KkXYr4Rqh7gDg6jYtSV4HzO+TH586MAbA0FDgJ4WPv9iHwNAH4HwP8NYKPfgRhjr2OM3cQYu+nEiRMjDNmhpjMDt7Pckdg/V8Mrn3Fou4fhcA6hLzNgjH0KwAWWt35N/4VzzhljfNADM8auAXAZ5/yXGGOH+32ec/5OAO8EgGuvvXbg4ziU4ZiBg4ODib7GgHP+4qr3GGOPMcYOcM6PMcYOADhu+dgjyF1JAHAIwp30XADXMsYekOM4jzH2Wc75C+EwUThm4ODgYGLUleB6ABQd9FoAf2/5zCcAvIQxtiSF45cA+ATn/L9zzi/knB8G8HwAdzlDsDWohy6ayMHBoYhRV4K3AfguxtjdAF4sfwdj7FrG2F8AgBSOfwfAV+S/t5CY7LA9qAcumsjBwaGIkaKJOOenALzI8vpNAH5a+/0vAfxlj+95AMBVo4zFYXDo9e6dMXBwcABcBvKuRIEZODeRg4MDnDHYlXDMwMHBwYRbCXYhnGbg4OBgwq0EuxCex5R7yEUTOTg4AM4Y7FpQsTqnGTg4OADOGOxaUOLZbm9u4+DgIOCMwS4FJZ5Fvt/nkw4ODrsBzhjsUig3kROQHRwc4IzBrgX1NHA9dB0cHABnDHYtHDNwcHDQ4VaCXYq6EpDdFHBwcHDGYNdCuYk8NwUcHBycMdi1qAUeQp/Bcw3VHRwc4IzBrkU99F3CmYODg4JbDXYp6qGH0OkFDg4OEiP1M3DYuXjVtRfhqoML2z0MBweHKYEzBrsUT7t4CU+7eGm7h+Hg4DAlcH4CBwcHBwdnDBwcHBwcnDFwcHBwcIAzBg4ODg4OcMbAwcHBwQHOGDg4ODg4wBkDBwcHBwc4Y+Dg4ODgAIBxzrd7DEODMXYCwIOWt/YBODnGQy0AODvG75vm8U3z2IDdNb5pHhuwu8Y3zWMDhh/fJZzz/dZ3OOfnzD8AN435+965W8Y3zWPbbeOb5rHttvFN89jGPT7nJuqN/7PdA+iDaR7fNI8NmO7xTfPYADe+UTC1Y3PGoAc451N744DpHt80jw2Y7vFN89gAN75RMM1jO9eMwTu3ewB9MM3jm+axAW58o2CaxwZM9/imeWzAGMe3IwVkBwcHB4fx4lxjBg4ODg4Om4AzBg4ODg4O020MGGMXMcY+wxj7BmPsDsbYf5Sv72GM3cAYu1v+vyRfZ4yxP2GM3cMYu40x9nTtuz7OGFtmjP3DtI2PMXYJY+wWxtjX5Pf83DSNT76XyvF9jTF2/bSMjTH2ndq4vsYYazPGvn9axiffeztj7Ovy3w9vw9ieyBj7ImOswxj7ZeO7/pIxdpwx9vVRxzXu8THG6oyxGxljt8rv+e1pGZt87wHG2O1y3t006tjGOT7G2BOM52KFMfaLPQ8+zpjXcf8DcADA0+XPcwDuAnAlgN8H8Cb5+psAvF3+/D0APgaAAXgOgC9r3/UiAC8H8A/TNj4AEYCa/HkWwAMALpyW8cn31qb13mrfuQfAaQDNaRkfgO8FcANEV8EZAF8BML/FYzsPwDMBvBXALxvf9e0Ang7g69t4b63jk9dyVv4cAvgygOdMw9jkew8A2LfNz0Xl+LTv9AE8CpFwVn3scZ7IpP8B+HsA3wXgWwAOaBfvW/Ln/wng1drn1efk7y/EGI3BuMcnX9sL4CGMwRiMc3wYszGY0LV7HYC/mabxAfgVAL+hvf4uAK/ayrFpn/st24IB4DDGaAzGPT75XhPALQCePS1jwwSMwYSu3UsAfL7fsabaTaSDMXYYwNMgdgfnc86PybceBXC+/PkggIe1PzsiX5v68Ul6eJt8/+2c86PTND4AdcbYTYyxL43DDTPmsRF+BMB7xjm2MYzvVgDXMcaajLF9AL4TwEVbPLZtw6jjY4z5jLGvATgO4AbO+ZenZWwAOIBPMsZuZoy9blzjGuP4CAM9F8GwA9wOMMZmAXwQwC9yzlcYY+o9zjlnjG1rfOw4xsc5fxjA1YyxCwH8HWPsA5zzx6ZlfBAU8xHG2KUA/pExdjvn/N4pGRsYYwcAPAXAJ0Yd0zjHxzn/JGPsmQC+AOAEgC8CSKdhbJPGmJ6LFMA1jLFFAB9mjF3FOR9Z3xjTtXu+fCbOA3ADY+xOzvk/jzq2MY4PjLEIwPcB+NV+n516ZsAYCyEuyt9wzj8kX35MPvy0CByXrz+C4q7rkHxtx4xPMoKvA3jBNI2Pc07/3wfgsxA7lqkYm8SrAHyYcx6POq5xj49z/lbO+TWc8++C8IPftcVj23KMe3yc82UAnwFw3bSMTXsmjgP4MIBnjTq2cY5P4qUAbhlkYznVxoAJc/guAN/knP9X7a3rAbxW/vxaCL8avf4aJvAcAGc1ajW142OMHWKMNeR3LgF4PoSPcFrGt8QYq8nv3AfgeQC+MQ1j0/7u1Riji2iM185njO2V33k1gKsBfHKLx7alGNf4GGP7JSOAfD6+C8CdUzK2GcbYHP0M4ZcfB2MZ970d/LmYpPgx6j+IRZEDuA3A1+S/74EQWT8N4G4AnwKwR36eAfgzAPcCuB3Atdp3/QsETW9B+HO/e1rGBzHJb4PwL98G4HXTdP0AfJv8/Vb5/09Ny9jke4chduHetM09AHUIw/kNAF8CcM02jO0COedXACzLn+fle+8BcAxALF/fjntrHR+E4fyq/J6vA3jzFI3tUojn4VYAdwD4tW2ad73u7QyAUwAWBjm2K0fh4ODg4DDdbiIHBwcHh62BMwYODg4ODs4YODg4ODg4Y+Dg4ODgAGcMHBwcHBzgjIGDQ1+wvGLrHUxU0PxPjLGezw5j7DBj7Ee3aowODqPCGQMHh/5ocZFB/GSInJCXAvjNPn9zGIAzBg47Bi7PwMGhDxhja5zzWe33SyFKUe8DcAmAv4ZI8AGAX+Ccf4Ex9iUATwJwP4B3A/gTAG+DqJxbA/BnnPP/uWUn4eDQB84YODj0gWkM5GvLAJ4AYBVAxjlvM8auAPAezvm1jLEXQpQUfpn8/OsAnMc5/11Z2uPzAH6Ic37/Fp6Kg0MldkTVUgeHKUYI4E8ZY9dAVCN9fMXnXgJRlfaV8vcFAFdAMAcHh22HMwYODkNCuolSiMqRvwngMQBPhdDg2lV/BuA/cM7HWmLbwWFccAKyg8MQYIztB/A/APwpFz7WBQDHOOcZgB+HaDEICPfRnPannwDw72R5YjDGHi+rXTo4TAUcM3Bw6I8GE922QgAJhGBM5YX/HMAHGWOvAfBxAOvy9dsApIyxWwH8bwB/DBFhdIssU3wCwPdvzfAdHPrDCcgODg4ODs5N5ODg4ODgjIGDg4ODA5wxcHBwcHCAMwYODg4ODnDGwMHBwcEBzhg4ODg4OMAZAwcHBwcHAP8/8fDGT+ziYW8AAAAASUVORK5CYII=\n"},"metadata":{"needs_background":"light"}}],"source":["residuals = results.resid\n","residuals[\"EURUSD\"].plot()\n","residuals[\"EURUSD\"].mean()\n","residuals[\"EURUSD\"].var()"]},{"cell_type":"code","execution_count":37,"metadata":{"id":"nDTrc2R28lPz","executionInfo":{"status":"ok","timestamp":1679664114234,"user_tz":-60,"elapsed":30,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"colab":{"base_uri":"https://localhost:8080/","height":545},"outputId":"540b608c-a960-4556-cfdb-c98e01259ac8"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{},"execution_count":37},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 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\n"},"metadata":{"needs_background":"light"}}],"source":["#results.resid\n","#results.resid_acorr(1)\n","from statsmodels.graphics.tsaplots import plot_acf\n","plot_acf(results.resid[\"EURUSD\"], lags=24)\n"]},{"cell_type":"markdown","metadata":{"id":"2ZzenmLLEI6Y"},"source":[]},{"cell_type":"markdown","metadata":{"id":"hfhBevzmDwtE"},"source":["I use these results and buld fevd plots in R as the plots there are prettier and I can plot the responses to each news shock easily. "]},{"cell_type":"code","execution_count":38,"metadata":{"id":"2RW8ev6yfsui","executionInfo":{"status":"ok","timestamp":1679664114236,"user_tz":-60,"elapsed":28,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["#results.plot()"]},{"cell_type":"code","execution_count":39,"metadata":{"id":"T-JYBqjJf8ZV","executionInfo":{"status":"ok","timestamp":1679664114237,"user_tz":-60,"elapsed":28,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["#results.plot_acorr()"]},{"cell_type":"code","execution_count":40,"metadata":{"id":"njY34JmRawma","executionInfo":{"status":"ok","timestamp":1679664114239,"user_tz":-60,"elapsed":29,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["from statsmodels.tsa.vector_ar.var_model import FEVD\n","fevd =results.fevd(24)"]},{"cell_type":"code","execution_count":41,"metadata":{"id":"BTRdquA5ikiu","executionInfo":{"status":"ok","timestamp":1679664122253,"user_tz":-60,"elapsed":8042,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"colab":{"base_uri":"https://localhost:8080/","height":1000},"outputId":"73f0049c-294f-45e1-cb1d-f5cb2a4e6e3d"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1440x1440 with 8 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\n"},"metadata":{"needs_background":"light"}}],"source":["#results.fevd(20).plot(figsize=(20,20));\n","fevd = results.fevd(48)\n","results.fevd(20).plot(figsize=(20,20));\n","#fig = simple_plot()"]},{"cell_type":"code","execution_count":42,"metadata":{"id":"3w_MZGcr9Z1J","executionInfo":{"status":"ok","timestamp":1679664122255,"user_tz":-60,"elapsed":42,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"34fb9bef-efae-412a-ce4f-ebd43ea83974"},"outputs":[{"output_type":"stream","name":"stdout","text":["FEVD for EURUSD\n","        EURUSD  Stock Market News  Economic Development News  FED News  Micro Finance News  International Trade News    EPU_US    EPU_EU\n","0     1.000000           0.000000                   0.000000  0.000000            0.000000                  0.000000  0.000000  0.000000\n","1     0.947026           0.001212                   0.023769  0.012442            0.000000                  0.000776  0.000490  0.014285\n","2     0.885027           0.013429                   0.038189  0.027006            0.018215                  0.002852  0.001958  0.013324\n","3     0.816083           0.040705                   0.035392  0.024805            0.027827                  0.016698  0.023060  0.015432\n","4     0.790788           0.040357                   0.037831  0.039427            0.029888                  0.019109  0.022304  0.020294\n","5     0.757540           0.049437                   0.047291  0.038064            0.028838                  0.023779  0.021396  0.033656\n","6     0.738181           0.052100                   0.048999  0.039440            0.034662                  0.025542  0.022763  0.038313\n","7     0.714473           0.050297                   0.050212  0.038058            0.033521                  0.025769  0.040573  0.047096\n","8     0.709255           0.054044                   0.050159  0.037929            0.033411                  0.027753  0.040474  0.046974\n","9     0.703670           0.057415                   0.049568  0.039514            0.033108                  0.027646  0.040276  0.048803\n","10    0.702521           0.057249                   0.049163  0.039238            0.034335                  0.027715  0.040347  0.049432\n","11    0.698405           0.057093                   0.049243  0.039209            0.034294                  0.032369  0.040211  0.049176\n","12    0.695441           0.056982                   0.049053  0.039040            0.037330                  0.032637  0.040436  0.049081\n","13    0.694079           0.057433                   0.049226  0.039171            0.037343                  0.032543  0.040386  0.049818\n","14    0.693752           0.057448                   0.049199  0.039196            0.037391                  0.032530  0.040481  0.050004\n","15    0.692566           0.057969                   0.049097  0.039107            0.038016                  0.032970  0.040432  0.049843\n","16    0.691232           0.058253                   0.049075  0.039255            0.038537                  0.032910  0.040719  0.050019\n","17    0.690459           0.058769                   0.049102  0.039378            0.038580                  0.033088  0.040662  0.049963\n","18    0.689590           0.058947                   0.049039  0.039325            0.038872                  0.033126  0.041028  0.050072\n","19    0.689379           0.058937                   0.049025  0.039323            0.038865                  0.033233  0.041119  0.050119\n","20    0.688800           0.059293                   0.048983  0.039679            0.038831                  0.033255  0.041083  0.050076\n","21    0.688680           0.059280                   0.049039  0.039671            0.038923                  0.033252  0.041085  0.050070\n","22    0.688301           0.059305                   0.049029  0.039681            0.038929                  0.033274  0.041350  0.050131\n","23    0.688115           0.059329                   0.049003  0.039706            0.039037                  0.033357  0.041333  0.050120\n","24    0.688051           0.059327                   0.049002  0.039702            0.039060                  0.033356  0.041343  0.050158\n","25    0.688005           0.059323                   0.049000  0.039709            0.039061                  0.033355  0.041343  0.050204\n","26    0.687908           0.059358                   0.049005  0.039713            0.039074                  0.033352  0.041394  0.050196\n","27    0.687816           0.059351                   0.049021  0.039737            0.039132                  0.033351  0.041396  0.050195\n","28    0.687744           0.059349                   0.049015  0.039732            0.039146                  0.033351  0.041402  0.050260\n","29    0.687679           0.059378                   0.049011  0.039736            0.039186                  0.033349  0.041404  0.050257\n","30    0.687643           0.059397                   0.049009  0.039734            0.039197                  0.033350  0.041410  0.050260\n","31    0.687629           0.059396                   0.049008  0.039733            0.039196                  0.033352  0.041411  0.050274\n","32    0.687611           0.059403                   0.049009  0.039737            0.039195                  0.033351  0.041416  0.050276\n","33    0.687589           0.059401                   0.049017  0.039736            0.039201                  0.033350  0.041426  0.050280\n","34    0.687562           0.059401                   0.049015  0.039737            0.039202                  0.033367  0.041432  0.050285\n","35    0.687529           0.059406                   0.049019  0.039748            0.039209                  0.033367  0.041440  0.050283\n","36    0.687520           0.059405                   0.049018  0.039748            0.039214                  0.033366  0.041440  0.050287\n","37    0.687518           0.059405                   0.049018  0.039748            0.039214                  0.033367  0.041441  0.050289\n","38    0.687514           0.059407                   0.049020  0.039748            0.039214                  0.033367  0.041441  0.050288\n","39    0.687507           0.059409                   0.049022  0.039748            0.039215                  0.033367  0.041441  0.050290\n","40    0.687503           0.059409                   0.049022  0.039750            0.039218                  0.033368  0.041441  0.050290\n","41    0.687494           0.059412                   0.049022  0.039752            0.039223                  0.033367  0.041441  0.050290\n","42    0.687491           0.059411                   0.049022  0.039752            0.039224                  0.033367  0.041442  0.050290\n","43    0.687490           0.059412                   0.049022  0.039752            0.039225                  0.033367  0.041442  0.050290\n","44    0.687487           0.059413                   0.049024  0.039752            0.039225                  0.033367  0.041442  0.050290\n","45    0.687485           0.059414                   0.049025  0.039752            0.039225                  0.033367  0.041443  0.050290\n","46    0.687482           0.059413                   0.049025  0.039753            0.039226                  0.033367  0.041443  0.050290\n","47    0.687478           0.059414                   0.049025  0.039755            0.039228                  0.033367  0.041443  0.050290\n","\n","FEVD for Stock Market News\n","        EURUSD  Stock Market News  Economic Development News  FED News  Micro Finance News  International Trade News    EPU_US    EPU_EU\n","0     0.001936           0.998064                   0.000000  0.000000            0.000000                  0.000000  0.000000  0.000000\n","1     0.023662           0.926090                   0.000338  0.003056            0.000262                  0.028766  0.006217  0.011609\n","2     0.027193           0.899051                   0.001639  0.020525            0.005469                  0.027749  0.006360  0.012015\n","3     0.028249           0.887667                   0.001670  0.021457            0.011470                  0.027429  0.006824  0.015234\n","4     0.029758           0.869368                   0.019170  0.021315            0.011344                  0.026854  0.007151  0.015040\n","5     0.029108           0.850915                   0.018913  0.021078            0.011763                  0.028936  0.021584  0.017704\n","6     0.044928           0.827552                   0.018596  0.020610            0.012789                  0.033453  0.022432  0.019639\n","7     0.045140           0.822186                   0.019949  0.022462            0.012702                  0.035535  0.022286  0.019739\n","8     0.045211           0.818412                   0.021531  0.022440            0.013223                  0.036860  0.022242  0.020080\n","9     0.045243           0.817491                   0.021542  0.022671            0.013233                  0.037180  0.022325  0.020315\n","10    0.045106           0.815029                   0.021495  0.023678            0.014702                  0.037084  0.022585  0.020322\n","11    0.044956           0.812279                   0.021453  0.023837            0.014787                  0.037024  0.022518  0.023147\n","12    0.044827           0.810966                   0.021719  0.024538            0.015310                  0.037075  0.022446  0.023119\n","13    0.044712           0.809508                   0.022945  0.024532            0.015271                  0.037033  0.022625  0.023374\n","14    0.044808           0.807811                   0.022894  0.024692            0.016167                  0.037399  0.022614  0.023614\n","15    0.045256           0.806103                   0.023395  0.025010            0.016582                  0.037348  0.022614  0.023692\n","16    0.045223           0.805458                   0.023456  0.025043            0.016617                  0.037374  0.023157  0.023673\n","17    0.045314           0.804305                   0.023696  0.025160            0.016666                  0.037966  0.023226  0.023666\n","18    0.045297           0.803453                   0.024058  0.025307            0.016991                  0.037970  0.023283  0.023640\n","19    0.045314           0.803170                   0.024109  0.025313            0.016995                  0.038137  0.023321  0.023640\n","20    0.045280           0.802545                   0.024319  0.025449            0.017098                  0.038187  0.023441  0.023681\n","21    0.045242           0.801875                   0.024463  0.025632            0.017102                  0.038250  0.023687  0.023750\n","22    0.045240           0.801783                   0.024501  0.025634            0.017143                  0.038258  0.023682  0.023759\n","23    0.045225           0.801342                   0.024494  0.025831            0.017403                  0.038264  0.023686  0.023755\n","24    0.045278           0.800933                   0.024623  0.025868            0.017636                  0.038229  0.023688  0.023746\n","25    0.045269           0.800815                   0.024690  0.025911            0.017643                  0.038224  0.023687  0.023761\n","26    0.045361           0.800439                   0.024704  0.025907            0.017946                  0.038205  0.023684  0.023756\n","27    0.045391           0.800097                   0.024884  0.025896            0.018065                  0.038190  0.023680  0.023798\n","28    0.045381           0.800057                   0.024887  0.025903            0.018062                  0.038218  0.023697  0.023795\n","29    0.045376           0.799647                   0.024976  0.025993            0.018195                  0.038279  0.023732  0.023803\n","30    0.045386           0.799390                   0.025048  0.026045            0.018303                  0.038270  0.023747  0.023811\n","31    0.045394           0.799367                   0.025049  0.026050            0.018306                  0.038273  0.023745  0.023817\n","32    0.045382           0.799111                   0.025076  0.026111            0.018430                  0.038278  0.023791  0.023822\n","33    0.045393           0.798828                   0.025186  0.026150            0.018471                  0.038291  0.023842  0.023838\n","34    0.045390           0.798797                   0.025221  0.026148            0.018481                  0.038286  0.023841  0.023836\n","35    0.045395           0.798586                   0.025243  0.026186            0.018610                  0.038286  0.023857  0.023837\n","36    0.045411           0.798394                   0.025327  0.026192            0.018688                  0.038276  0.023874  0.023838\n","37    0.045409           0.798377                   0.025336  0.026197            0.018694                  0.038275  0.023873  0.023839\n","38    0.045414           0.798198                   0.025362  0.026217            0.018809                  0.038275  0.023882  0.023843\n","39    0.045427           0.798055                   0.025423  0.026224            0.018866                  0.038272  0.023882  0.023851\n","40    0.045425           0.798047                   0.025426  0.026226            0.018868                  0.038277  0.023883  0.023850\n","41    0.045424           0.797874                   0.025453  0.026268            0.018943                  0.038289  0.023898  0.023852\n","42    0.045432           0.797735                   0.025506  0.026285            0.018988                  0.038285  0.023910  0.023859\n","43    0.045431           0.797724                   0.025513  0.026287            0.018992                  0.038285  0.023909  0.023859\n","44    0.045431           0.797588                   0.025529  0.026314            0.019061                  0.038287  0.023929  0.023862\n","45    0.045438           0.797467                   0.025583  0.026326            0.019094                  0.038286  0.023941  0.023865\n","46    0.045437           0.797459                   0.025591  0.026326            0.019098                  0.038285  0.023940  0.023864\n","47    0.045439           0.797347                   0.025606  0.026348            0.019162                  0.038286  0.023948  0.023864\n","\n","FEVD for Economic Development News\n","        EURUSD  Stock Market News  Economic Development News  FED News  Micro Finance News  International Trade News    EPU_US    EPU_EU\n","0     0.007339           0.000357                   0.992304  0.000000            0.000000                  0.000000  0.000000  0.000000\n","1     0.005696           0.014516                   0.967426  0.001001            0.002826                  0.007902  0.000622  0.000012\n","2     0.005537           0.026970                   0.936525  0.001339            0.006364                  0.014446  0.007884  0.000935\n","3     0.006726           0.025205                   0.860716  0.011033            0.051907                  0.016240  0.022177  0.005996\n","4     0.009434           0.024652                   0.807573  0.011562            0.077759                  0.025188  0.031580  0.012251\n","5     0.009460           0.024489                   0.794336  0.012066            0.086319                  0.025897  0.033624  0.013809\n","6     0.015962           0.024699                   0.765754  0.018004            0.098432                  0.025968  0.032390  0.018792\n","7     0.034634           0.023846                   0.731993  0.016996            0.115231                  0.024966  0.032662  0.019672\n","8     0.033155           0.023869                   0.700771  0.054152            0.111109                  0.025159  0.032043  0.019742\n","9     0.035256           0.022950                   0.677009  0.056130            0.119755                  0.026101  0.034654  0.028145\n","10    0.035067           0.022920                   0.673502  0.055944            0.118661                  0.026064  0.034498  0.033345\n","11    0.037065           0.026899                   0.660007  0.054791            0.127222                  0.026596  0.034222  0.033198\n","12    0.041472           0.026259                   0.641372  0.057254            0.137064                  0.030925  0.033121  0.032534\n","13    0.041938           0.030747                   0.631328  0.058346            0.137809                  0.031290  0.033326  0.035218\n","14    0.041781           0.033687                   0.627520  0.058859            0.138368                  0.031146  0.033608  0.035032\n","15    0.041151           0.033882                   0.618865  0.058758            0.144006                  0.030659  0.036628  0.036050\n","16    0.041325           0.034810                   0.616309  0.058262            0.143443                  0.030338  0.039769  0.035745\n","17    0.040964           0.037133                   0.610646  0.058438            0.145487                  0.030848  0.039799  0.036686\n","18    0.042884           0.036652                   0.600088  0.060595            0.150918                  0.031489  0.040717  0.036657\n","19    0.045029           0.039275                   0.595210  0.059981            0.151679                  0.031207  0.040740  0.036880\n","20    0.044973           0.039964                   0.592844  0.061277            0.151862                  0.031376  0.040840  0.036862\n","21    0.045004           0.039492                   0.588464  0.061668            0.154083                  0.032321  0.041820  0.037149\n","22    0.044859           0.040005                   0.588415  0.061794            0.153412                  0.032489  0.041793  0.037232\n","23    0.044910           0.041364                   0.585276  0.061546            0.154895                  0.032788  0.042003  0.037217\n","24    0.045187           0.040963                   0.579849  0.062697            0.158245                  0.032880  0.043001  0.037177\n","25    0.045572           0.042611                   0.577104  0.062669            0.158523                  0.032622  0.043428  0.037471\n","26    0.045471           0.043473                   0.575707  0.063050            0.158902                  0.032638  0.043362  0.037396\n","27    0.045596           0.043177                   0.572757  0.063646            0.161023                  0.032645  0.043691  0.037464\n","28    0.045898           0.044010                   0.572239  0.063509            0.160815                  0.032526  0.043630  0.037372\n","29    0.045756           0.044669                   0.570403  0.063863            0.161420                  0.032789  0.043749  0.037352\n","30    0.046032           0.044362                   0.566909  0.064801            0.163312                  0.032957  0.044208  0.037419\n","31    0.046283           0.045013                   0.565871  0.064697            0.163419                  0.032839  0.044274  0.037604\n","32    0.046205           0.045525                   0.564892  0.064896            0.163721                  0.032904  0.044317  0.037539\n","33    0.046237           0.045252                   0.562958  0.065325            0.164914                  0.033048  0.044674  0.037592\n","34    0.046342           0.045887                   0.562512  0.065314            0.164713                  0.032978  0.044664  0.037590\n","35    0.046259           0.046370                   0.561411  0.065473            0.165196                  0.033060  0.044697  0.037535\n","36    0.046416           0.046150                   0.559123  0.066087            0.166649                  0.033086  0.044954  0.037534\n","37    0.046618           0.046683                   0.558356  0.066017            0.166699                  0.032994  0.045027  0.037606\n","38    0.046556           0.047083                   0.557607  0.066193            0.166941                  0.033038  0.045023  0.037558\n","39    0.046649           0.046882                   0.556132  0.066527            0.167903                  0.033084  0.045225  0.037598\n","40    0.046772           0.047307                   0.555820  0.066454            0.167831                  0.033018  0.045204  0.037593\n","41    0.046712           0.047606                   0.555047  0.066637            0.168100                  0.033099  0.045244  0.037554\n","42    0.046802           0.047431                   0.553561  0.067032            0.169021                  0.033157  0.045424  0.037572\n","43    0.046914           0.047777                   0.553133  0.066984            0.169005                  0.033106  0.045440  0.037641\n","44    0.046869           0.048052                   0.552579  0.067090            0.169217                  0.033138  0.045451  0.037605\n","45    0.046927           0.047903                   0.551511  0.067341            0.169905                  0.033184  0.045603  0.037626\n","46    0.047006           0.048224                   0.551246  0.067302            0.169840                  0.033138  0.045612  0.037631\n","47    0.046964           0.048440                   0.550730  0.067416            0.170045                  0.033179  0.045622  0.037603\n","\n","FEVD for FED News\n","        EURUSD  Stock Market News  Economic Development News  FED News  Micro Finance News  International Trade News    EPU_US    EPU_EU\n","0     0.006052           0.019769                   0.092759  0.881419            0.000000                  0.000000  0.000000  0.000000\n","1     0.004732           0.027694                   0.086524  0.861931            0.001351                  0.000237  0.011306  0.006227\n","2     0.013851           0.029425                   0.085373  0.828222            0.002653                  0.000442  0.012563  0.027471\n","3     0.014368           0.028722                   0.083430  0.806087            0.011381                  0.001153  0.020846  0.034013\n","4     0.019553           0.026230                   0.110483  0.733319            0.027317                  0.001555  0.039789  0.041755\n","5     0.023906           0.053542                   0.110632  0.695130            0.028465                  0.011020  0.037038  0.040267\n","6     0.031054           0.052649                   0.119154  0.662477            0.051867                  0.011460  0.034293  0.037045\n","7     0.031677           0.051762                   0.115857  0.642914            0.069651                  0.016607  0.033778  0.037753\n","8     0.032892           0.050768                   0.121987  0.636932            0.068650                  0.016266  0.035660  0.036844\n","9     0.031721           0.054144                   0.121803  0.624173            0.072363                  0.017438  0.039379  0.038978\n","10    0.032249           0.055385                   0.128240  0.613335            0.074144                  0.017704  0.040686  0.038256\n","11    0.033345           0.058627                   0.127315  0.607017            0.076577                  0.017813  0.040806  0.038501\n","12    0.034551           0.061084                   0.128560  0.593117            0.086114                  0.018024  0.040807  0.037743\n","13    0.036511           0.063020                   0.131987  0.579198            0.086677                  0.019281  0.043369  0.039957\n","14    0.036949           0.064311                   0.131014  0.576004            0.089369                  0.019541  0.043071  0.039740\n","15    0.037839           0.063905                   0.132045  0.564159            0.099963                  0.019458  0.042779  0.039851\n","16    0.037986           0.067315                   0.135188  0.557066            0.101504                  0.019214  0.042336  0.039390\n","17    0.037674           0.070404                   0.134118  0.553377            0.102902                  0.019767  0.042614  0.039143\n","18    0.038970           0.069244                   0.134719  0.546033            0.109424                  0.019859  0.042794  0.038956\n","19    0.040023           0.069928                   0.135009  0.541966            0.110570                  0.019711  0.042759  0.040034\n","20    0.039816           0.070935                   0.134294  0.540803            0.111305                  0.020276  0.042748  0.039823\n","21    0.039964           0.069848                   0.134716  0.534838            0.114636                  0.021559  0.044265  0.040175\n","22    0.040572           0.071171                   0.137267  0.530402            0.114283                  0.021673  0.044634  0.039997\n","23    0.040431           0.071808                   0.136785  0.528989            0.115536                  0.021757  0.044787  0.039906\n","24    0.040628           0.071126                   0.137899  0.524283            0.118806                  0.021857  0.045686  0.039715\n","25    0.040788           0.071991                   0.139427  0.521132            0.118873                  0.021817  0.046022  0.039949\n","26    0.040699           0.072714                   0.139004  0.519873            0.120153                  0.021814  0.045916  0.039827\n","27    0.041154           0.072069                   0.139417  0.515975            0.123317                  0.021999  0.046023  0.040046\n","28    0.041491           0.073174                   0.140469  0.513608            0.123418                  0.021900  0.045924  0.040018\n","29    0.041377           0.073873                   0.140051  0.512596            0.123990                  0.022265  0.045926  0.039921\n","30    0.041557           0.073297                   0.140556  0.509850            0.126116                  0.022433  0.046255  0.039936\n","31    0.041808           0.073783                   0.141383  0.508035            0.126294                  0.022357  0.046269  0.040073\n","32    0.041709           0.074220                   0.141042  0.507290            0.126831                  0.022473  0.046434  0.040000\n","33    0.041872           0.073708                   0.141500  0.504767            0.128416                  0.022741  0.046950  0.040047\n","34    0.042089           0.074350                   0.142458  0.503044            0.128352                  0.022708  0.046962  0.040038\n","35    0.042020           0.074672                   0.142202  0.502484            0.128881                  0.022800  0.046973  0.039968\n","36    0.042197           0.074297                   0.142567  0.500477            0.130391                  0.022889  0.047227  0.039956\n","37    0.042332           0.074692                   0.143247  0.499186            0.130399                  0.022844  0.047290  0.040011\n","38    0.042274           0.075044                   0.143017  0.498624            0.130875                  0.022909  0.047289  0.039968\n","39    0.042398           0.074706                   0.143323  0.496955            0.132147                  0.023003  0.047457  0.040011\n","40    0.042532           0.075189                   0.143841  0.495858            0.132183                  0.022952  0.047432  0.040013\n","41    0.042475           0.075451                   0.143639  0.495460            0.132509                  0.023048  0.047454  0.039965\n","42    0.042585           0.075167                   0.143883  0.494095            0.133546                  0.023126  0.047615  0.039984\n","43    0.042707           0.075459                   0.144354  0.493195            0.133550                  0.023095  0.047609  0.040030\n","44    0.042662           0.075681                   0.144183  0.492830            0.133853                  0.023155  0.047646  0.039991\n","45    0.042757           0.075431                   0.144421  0.491639            0.134678                  0.023247  0.047824  0.040003\n","46    0.042848           0.075730                   0.144838  0.490859            0.134667                  0.023217  0.047830  0.040010\n","47    0.042812           0.075897                   0.144700  0.490574            0.134932                  0.023265  0.047843  0.039976\n","\n","FEVD for Micro Finance News\n","        EURUSD  Stock Market News  Economic Development News  FED News  Micro Finance News  International Trade News    EPU_US    EPU_EU\n","0     0.008675           0.019825                   0.374688  0.053668            0.543145                  0.000000  0.000000  0.000000\n","1     0.013285           0.021110                   0.385953  0.078534            0.488080                  0.011534  0.000829  0.000675\n","2     0.013869           0.031031                   0.375618  0.072683            0.470671                  0.018015  0.002407  0.015706\n","3     0.016224           0.031491                   0.374377  0.073876            0.448867                  0.022591  0.011455  0.021120\n","4     0.018043           0.033079                   0.364199  0.071094            0.439281                  0.025279  0.013738  0.035287\n","5     0.022873           0.031248                   0.343605  0.076427            0.432118                  0.046885  0.013457  0.033388\n","6     0.034772           0.031803                   0.313936  0.081126            0.434743                  0.047382  0.026770  0.029468\n","7     0.049626           0.039284                   0.308301  0.078622            0.416114                  0.044032  0.036652  0.027370\n","8     0.049057           0.039364                   0.304535  0.084521            0.413037                  0.043469  0.038489  0.027528\n","9     0.048481           0.037576                   0.303661  0.090647            0.406057                  0.042923  0.041115  0.029540\n","10    0.047610           0.041016                   0.309132  0.089094            0.399419                  0.042884  0.040397  0.030448\n","11    0.049276           0.042378                   0.300819  0.089527            0.404129                  0.044274  0.039427  0.030169\n","12    0.055376           0.041852                   0.291861  0.088746            0.405112                  0.045893  0.038759  0.032401\n","13    0.056694           0.046353                   0.291955  0.087548            0.397669                  0.044714  0.039371  0.035697\n","14    0.056186           0.050608                   0.289521  0.088170            0.396171                  0.044863  0.039119  0.035363\n","15    0.055085           0.049633                   0.288770  0.090532            0.393426                  0.044572  0.041912  0.036069\n","16    0.055062           0.052479                   0.290588  0.089803            0.389985                  0.044060  0.042274  0.035749\n","17    0.054255           0.054131                   0.286093  0.090885            0.390572                  0.044522  0.043433  0.036110\n","18    0.055954           0.052947                   0.280526  0.092940            0.391028                  0.044543  0.045695  0.036369\n","19    0.057820           0.055987                   0.280524  0.091839            0.386648                  0.043918  0.046227  0.037038\n","20    0.057452           0.057449                   0.278761  0.092940            0.386406                  0.044097  0.046079  0.036816\n","21    0.057622           0.056306                   0.278872  0.093428            0.385210                  0.044402  0.047096  0.037065\n","22    0.057565           0.057870                   0.281141  0.092826            0.382500                  0.044079  0.047044  0.036976\n","23    0.057304           0.058989                   0.278666  0.092993            0.383177                  0.044418  0.047461  0.036991\n","24    0.057522           0.057984                   0.276791  0.093937            0.383974                  0.044241  0.048409  0.037141\n","25    0.057925           0.060282                   0.276808  0.093454            0.381755                  0.043820  0.048414  0.037542\n","26    0.057643           0.061478                   0.275488  0.093991            0.381708                  0.043920  0.048414  0.037359\n","27    0.057827           0.060706                   0.274851  0.094642            0.381675                  0.043925  0.048890  0.037484\n","28    0.058091           0.062014                   0.275988  0.094182            0.379815                  0.043668  0.048805  0.037436\n","29    0.057830           0.062626                   0.274474  0.094745            0.379992                  0.043953  0.049012  0.037367\n","30    0.058050           0.061910                   0.273416  0.095543            0.379888                  0.043915  0.049808  0.037471\n","31    0.058324           0.063116                   0.273899  0.095168            0.378374                  0.043668  0.049841  0.037609\n","32    0.058137           0.063769                   0.272985  0.095498            0.378451                  0.043742  0.049928  0.037491\n","33    0.058219           0.063191                   0.272755  0.095888            0.378350                  0.043763  0.050301  0.037533\n","34    0.058362           0.064196                   0.273425  0.095591            0.377070                  0.043590  0.050227  0.037540\n","35    0.058195           0.064649                   0.272466  0.095914            0.377308                  0.043726  0.050283  0.037460\n","36    0.058348           0.064162                   0.271795  0.096405            0.377421                  0.043687  0.050622  0.037560\n","37    0.058520           0.065020                   0.272112  0.096144            0.376409                  0.043519  0.050625  0.037650\n","38    0.058383           0.065478                   0.271419  0.096409            0.376471                  0.043600  0.050670  0.037571\n","39    0.058470           0.065057                   0.271149  0.096733            0.376447                  0.043579  0.050953  0.037613\n","40    0.058600           0.065756                   0.271586  0.096503            0.375590                  0.043450  0.050897  0.037618\n","41    0.058476           0.066058                   0.270926  0.096777            0.375702                  0.043536  0.050969  0.037556\n","42    0.058577           0.065704                   0.270554  0.097092            0.375722                  0.043525  0.051217  0.037608\n","43    0.058694           0.066281                   0.270834  0.096903            0.375001                  0.043417  0.051204  0.037668\n","44    0.058599           0.066565                   0.270336  0.097084            0.375094                  0.043477  0.051233  0.037612\n","45    0.058665           0.066265                   0.270144  0.097301            0.375078                  0.043472  0.051427  0.037649\n","46    0.058745           0.066766                   0.270429  0.097143            0.374471                  0.043382  0.051403  0.037661\n","47    0.058659           0.066985                   0.269976  0.097319            0.374566                  0.043438  0.051439  0.037618\n","\n","FEVD for International Trade News\n","        EURUSD  Stock Market News  Economic Development News  FED News  Micro Finance News  International Trade News    EPU_US    EPU_EU\n","0     0.002557           0.000725                   0.109298  0.046077            0.172458                  0.668886  0.000000  0.000000\n","1     0.030084           0.004270                   0.131843  0.058393            0.165257                  0.608123  0.000622  0.001408\n","2     0.028839           0.004050                   0.133372  0.056767            0.184023                  0.580219  0.002832  0.009897\n","3     0.030856           0.003973                   0.141761  0.056222            0.187397                  0.566010  0.002757  0.011023\n","4     0.044596           0.004606                   0.140872  0.055509            0.178420                  0.540043  0.023971  0.011984\n","5     0.041665           0.022391                   0.134937  0.058777            0.168434                  0.532084  0.028492  0.013221\n","6     0.038458           0.022683                   0.154926  0.066436            0.157944                  0.500002  0.043812  0.015739\n","7     0.037639           0.026477                   0.160346  0.068557            0.153980                  0.487192  0.049688  0.016120\n","8     0.037204           0.027664                   0.163908  0.067457            0.152248                  0.479535  0.056092  0.015892\n","9     0.036635           0.029274                   0.167906  0.069743            0.150233                  0.470897  0.059698  0.015615\n","10    0.037139           0.034743                   0.167180  0.069296            0.149008                  0.467073  0.059844  0.015718\n","11    0.039377           0.034018                   0.164343  0.070524            0.156798                  0.458835  0.060041  0.016064\n","12    0.042601           0.038442                   0.160846  0.070111            0.161839                  0.448319  0.061684  0.016157\n","13    0.042827           0.039196                   0.160929  0.070119            0.161376                  0.446547  0.061523  0.017483\n","14    0.043189           0.040068                   0.160731  0.072035            0.160896                  0.442935  0.061329  0.018817\n","15    0.042867           0.039867                   0.163942  0.072938            0.160459                  0.437891  0.061583  0.020452\n","16    0.042716           0.041444                   0.164420  0.072786            0.160044                  0.436696  0.061460  0.020435\n","17    0.042315           0.041217                   0.163438  0.074920            0.161486                  0.432785  0.063342  0.020498\n","18    0.043234           0.041634                   0.163738  0.076128            0.162833                  0.427554  0.064161  0.020719\n","19    0.043898           0.042406                   0.164011  0.075820            0.162104                  0.426147  0.064212  0.021402\n","20    0.043793           0.042560                   0.163695  0.076198            0.163741                  0.424655  0.064011  0.021348\n","21    0.044171           0.042467                   0.164704  0.076257            0.164427                  0.422164  0.064297  0.021514\n","22    0.044099           0.043498                   0.165138  0.076083            0.164039                  0.421221  0.064439  0.021482\n","23    0.044191           0.043457                   0.164667  0.076312            0.165976                  0.419258  0.064353  0.021785\n","24    0.044456           0.043450                   0.165141  0.076226            0.167920                  0.416484  0.064332  0.021991\n","25    0.044546           0.044477                   0.165092  0.076117            0.167648                  0.415778  0.064226  0.022116\n","26    0.044426           0.044657                   0.164859  0.076800            0.168403                  0.414436  0.064353  0.022067\n","27    0.044713           0.044630                   0.165418  0.077007            0.169088                  0.412698  0.064209  0.022237\n","28    0.044754           0.045242                   0.165713  0.076922            0.168857                  0.412135  0.064124  0.022253\n","29    0.044765           0.045140                   0.165335  0.077328            0.169838                  0.410991  0.064343  0.022260\n","30    0.044914           0.045113                   0.165973  0.077481            0.170364                  0.408960  0.064789  0.022405\n","31    0.044919           0.045631                   0.166233  0.077390            0.170157                  0.408465  0.064782  0.022423\n","32    0.044890           0.045661                   0.166072  0.077602            0.170891                  0.407587  0.064857  0.022440\n","33    0.045002           0.045720                   0.166508  0.077680            0.171411                  0.406287  0.064910  0.022482\n","34    0.045032           0.046295                   0.166616  0.077611            0.171242                  0.405888  0.064848  0.022467\n","35    0.045016           0.046251                   0.166382  0.077890            0.172046                  0.405094  0.064834  0.022487\n","36    0.045185           0.046288                   0.166688  0.077970            0.172547                  0.403872  0.064822  0.022628\n","37    0.045201           0.046700                   0.166803  0.077912            0.172410                  0.403559  0.064773  0.022643\n","38    0.045192           0.046706                   0.166673  0.078126            0.172869                  0.402921  0.064847  0.022666\n","39    0.045283           0.046703                   0.167064  0.078213            0.173173                  0.401924  0.064903  0.022736\n","40    0.045294           0.047055                   0.167173  0.078164            0.173057                  0.401662  0.064860  0.022736\n","41    0.045278           0.047028                   0.167022  0.078371            0.173549                  0.401077  0.064942  0.022734\n","42    0.045381           0.047045                   0.167259  0.078449            0.173853                  0.400224  0.064995  0.022794\n","43    0.045399           0.047338                   0.167343  0.078405            0.173754                  0.399997  0.064963  0.022800\n","44    0.045392           0.047326                   0.167238  0.078550            0.174147                  0.399554  0.064984  0.022809\n","45    0.045469           0.047341                   0.167478  0.078597            0.174380                  0.398863  0.065014  0.022858\n","46    0.045475           0.047588                   0.167549  0.078564            0.174300                  0.398684  0.064986  0.022855\n","47    0.045465           0.047570                   0.167455  0.078703            0.174646                  0.398279  0.065015  0.022867\n","\n","FEVD for EPU_US\n","        EURUSD  Stock Market News  Economic Development News  FED News  Micro Finance News  International Trade News    EPU_US    EPU_EU\n","0     0.000044           0.001219                   0.001926  0.012987            0.001902                  0.006724  0.975198  0.000000\n","1     0.000846           0.003500                   0.010622  0.025704            0.001916                  0.013810  0.940836  0.002766\n","2     0.001042           0.003272                   0.026820  0.033198            0.008525                  0.020166  0.903794  0.003183\n","3     0.008574           0.003090                   0.037673  0.030736            0.022204                  0.026590  0.838550  0.032583\n","4     0.009002           0.010864                   0.037480  0.035107            0.024448                  0.026335  0.816522  0.040243\n","5     0.009372           0.014274                   0.037264  0.040350            0.027978                  0.026271  0.802852  0.041639\n","6     0.010617           0.014544                   0.037416  0.044341            0.029517                  0.031742  0.781572  0.050250\n","7     0.027004           0.014246                   0.036647  0.046483            0.029085                  0.031092  0.765160  0.050282\n","8     0.026543           0.030027                   0.036912  0.059511            0.031652                  0.034679  0.728576  0.052101\n","9     0.032105           0.031024                   0.036542  0.059300            0.033813                  0.034489  0.721199  0.051528\n","10    0.031853           0.031156                   0.037061  0.061378            0.033683                  0.038257  0.715504  0.051108\n","11    0.032598           0.030828                   0.039678  0.061313            0.034354                  0.038335  0.712309  0.050585\n","12    0.032347           0.031811                   0.042826  0.061874            0.034078                  0.038071  0.708554  0.050439\n","13    0.034799           0.031503                   0.043460  0.063263            0.034566                  0.040037  0.702330  0.050043\n","14    0.035989           0.031379                   0.044910  0.064599            0.036791                  0.039791  0.696818  0.049722\n","15    0.035940           0.031362                   0.045108  0.064522            0.037653                  0.039756  0.695724  0.049936\n","16    0.036130           0.031977                   0.045588  0.065291            0.037565                  0.039636  0.693855  0.049958\n","17    0.036070           0.031914                   0.045641  0.065908            0.038188                  0.039575  0.692845  0.049859\n","18    0.036563           0.032521                   0.045885  0.065836            0.038137                  0.039563  0.691677  0.049817\n","19    0.036545           0.032489                   0.045797  0.066758            0.039376                  0.039465  0.689704  0.049866\n","20    0.036996           0.033101                   0.046299  0.066809            0.040541                  0.039378  0.686920  0.049955\n","21    0.037010           0.033254                   0.046649  0.066821            0.040503                  0.039336  0.686163  0.050264\n","22    0.037102           0.033345                   0.046854  0.066887            0.041152                  0.039279  0.685153  0.050228\n","23    0.037135           0.033272                   0.047798  0.066737            0.041915                  0.039240  0.683595  0.050308\n","24    0.037106           0.033797                   0.047872  0.066699            0.041883                  0.039209  0.683161  0.050274\n","25    0.037094           0.033878                   0.048002  0.066831            0.042676                  0.039271  0.682061  0.050187\n","26    0.037271           0.033957                   0.048203  0.066964            0.043492                  0.039220  0.680674  0.050220\n","27    0.037366           0.034092                   0.048229  0.066944            0.043480                  0.039199  0.680332  0.050358\n","28    0.037362           0.034126                   0.048221  0.067119            0.043850                  0.039253  0.679729  0.050342\n","29    0.037443           0.034098                   0.048575  0.067154            0.044121                  0.039303  0.678978  0.050328\n","30    0.037462           0.034330                   0.048752  0.067120            0.044101                  0.039284  0.678642  0.050307\n","31    0.037453           0.034300                   0.048789  0.067276            0.044571                  0.039296  0.678030  0.050284\n","32    0.037512           0.034373                   0.049120  0.067306            0.045009                  0.039267  0.677140  0.050273\n","33    0.037512           0.034526                   0.049197  0.067289            0.044996                  0.039257  0.676933  0.050291\n","34    0.037526           0.034547                   0.049229  0.067309            0.045392                  0.039264  0.676458  0.050274\n","35    0.037587           0.034564                   0.049499  0.067307            0.045655                  0.039271  0.675818  0.050299\n","36    0.037584           0.034754                   0.049574  0.067287            0.045642                  0.039269  0.675603  0.050287\n","37    0.037592           0.034752                   0.049598  0.067385            0.045942                  0.039308  0.675148  0.050274\n","38    0.037632           0.034766                   0.049787  0.067435            0.046210                  0.039286  0.674606  0.050278\n","39    0.037644           0.034881                   0.049834  0.067422            0.046200                  0.039280  0.674462  0.050276\n","40    0.037637           0.034889                   0.049855  0.067495            0.046421                  0.039292  0.674146  0.050265\n","41    0.037682           0.034905                   0.050051  0.067528            0.046597                  0.039295  0.673684  0.050258\n","42    0.037689           0.035016                   0.050114  0.067515            0.046588                  0.039287  0.673541  0.050249\n","43    0.037694           0.035005                   0.050132  0.067581            0.046805                  0.039303  0.673244  0.050236\n","44    0.037727           0.035021                   0.050298  0.067601            0.046972                  0.039295  0.672844  0.050242\n","45    0.037728           0.035102                   0.050339  0.067591            0.046965                  0.039290  0.672744  0.050240\n","46    0.037730           0.035108                   0.050361  0.067627            0.047141                  0.039300  0.672498  0.050235\n","47    0.037752           0.035121                   0.050496  0.067649            0.047281                  0.039292  0.672176  0.050233\n","\n","FEVD for EPU_EU\n","        EURUSD  Stock Market News  Economic Development News  FED News  Micro Finance News  International Trade News    EPU_US    EPU_EU\n","0     0.006888           0.000099                   0.001074  0.011638            0.005306                  0.010700  0.013395  0.950900\n","1     0.023942           0.003331                   0.003766  0.028062            0.004827                  0.011580  0.017201  0.907291\n","2     0.024752           0.011532                   0.003752  0.027517            0.014227                  0.011343  0.017944  0.888934\n","3     0.025031           0.011057                   0.013463  0.030724            0.016258                  0.012095  0.044806  0.846566\n","4     0.045229           0.020646                   0.014085  0.034232            0.017330                  0.012686  0.043012  0.812779\n","5     0.048628           0.021119                   0.015565  0.034751            0.018101                  0.014840  0.061697  0.785298\n","6     0.047097           0.026938                   0.019069  0.035805            0.017646                  0.015611  0.078690  0.759144\n","7     0.046578           0.026560                   0.019401  0.035753            0.017518                  0.020465  0.078420  0.755304\n","8     0.045594           0.026907                   0.021265  0.035622            0.017764                  0.033992  0.076620  0.742236\n","9     0.046754           0.028887                   0.021158  0.037068            0.018631                  0.034121  0.077308  0.736073\n","10    0.047219           0.028948                   0.021134  0.037002            0.019241                  0.034506  0.077703  0.734247\n","11    0.047783           0.029143                   0.021346  0.036973            0.019587                  0.034567  0.077657  0.732945\n","12    0.050578           0.029186                   0.023205  0.037419            0.020012                  0.034554  0.077513  0.727533\n","13    0.051295           0.030513                   0.025026  0.039361            0.019987                  0.034303  0.077128  0.722387\n","14    0.052136           0.030660                   0.025239  0.039906            0.020225                  0.034247  0.077339  0.720248\n","15    0.052973           0.031551                   0.025229  0.039951            0.022079                  0.034116  0.077056  0.717046\n","16    0.053159           0.031813                   0.026259  0.040200            0.022191                  0.034032  0.077016  0.715330\n","17    0.053195           0.032116                   0.026252  0.040176            0.022240                  0.034057  0.077086  0.714878\n","18    0.053528           0.032167                   0.026601  0.040349            0.022213                  0.034288  0.076980  0.713874\n","19    0.053482           0.032263                   0.026592  0.040475            0.022211                  0.034305  0.077058  0.713615\n","20    0.053403           0.032210                   0.026964  0.040947            0.022274                  0.034812  0.076975  0.712414\n","21    0.053319           0.032242                   0.027158  0.041250            0.022961                  0.034749  0.077108  0.711215\n","22    0.053462           0.032277                   0.027220  0.041267            0.022991                  0.034737  0.077125  0.710921\n","23    0.053447           0.032479                   0.027210  0.041285            0.023047                  0.034727  0.077145  0.710660\n","24    0.053443           0.032455                   0.027394  0.041544            0.023140                  0.034804  0.077088  0.710132\n","25    0.053423           0.032773                   0.027647  0.041530            0.023129                  0.034781  0.077039  0.709677\n","26    0.053420           0.032754                   0.027633  0.041694            0.023442                  0.034763  0.077007  0.709287\n","27    0.053535           0.032726                   0.027750  0.041660            0.024138                  0.034728  0.077020  0.708443\n","28    0.053566           0.032736                   0.027847  0.041648            0.024209                  0.034719  0.077010  0.708265\n","29    0.053548           0.032937                   0.027858  0.041646            0.024244                  0.034741  0.076993  0.708032\n","30    0.053532           0.032921                   0.028070  0.041724            0.024369                  0.034760  0.076962  0.707662\n","31    0.053548           0.033019                   0.028116  0.041715            0.024380                  0.034765  0.076945  0.707510\n","32    0.053530           0.033006                   0.028121  0.041849            0.024530                  0.034793  0.076942  0.707229\n","33    0.053534           0.032990                   0.028208  0.041929            0.024777                  0.034808  0.076978  0.706775\n","34    0.053545           0.033048                   0.028301  0.041935            0.024787                  0.034819  0.076982  0.706584\n","35    0.053536           0.033111                   0.028298  0.041946            0.024849                  0.034819  0.076983  0.706459\n","36    0.053544           0.033115                   0.028441  0.041989            0.024977                  0.034816  0.076989  0.706128\n","37    0.053545           0.033177                   0.028522  0.041981            0.024981                  0.034810  0.076981  0.706003\n","38    0.053546           0.033180                   0.028517  0.042019            0.025105                  0.034810  0.076974  0.705849\n","39    0.053568           0.033169                   0.028576  0.042037            0.025295                  0.034805  0.076973  0.705577\n","40    0.053580           0.033223                   0.028617  0.042033            0.025308                  0.034800  0.076964  0.705476\n","41    0.053572           0.033259                   0.028622  0.042053            0.025356                  0.034815  0.076961  0.705362\n","42    0.053576           0.033255                   0.028709  0.042093            0.025450                  0.034821  0.076957  0.705139\n","43    0.053579           0.033292                   0.028753  0.042089            0.025454                  0.034818  0.076951  0.705065\n","44    0.053574           0.033297                   0.028751  0.042120            0.025522                  0.034822  0.076956  0.704958\n","45    0.053580           0.033290                   0.028810  0.042149            0.025628                  0.034824  0.076972  0.704747\n","46    0.053585           0.033330                   0.028855  0.042147            0.025632                  0.034821  0.076967  0.704664\n","47    0.053581           0.033346                   0.028854  0.042160            0.025678                  0.034824  0.076967  0.704590\n","\n","\n"]}],"source":["# autocorrelation with itself dominates\n","fevd = results.fevd(48)\n","#fevd.summary()\n","fevd_summary = fevd.summary()\n","fevd_summary\n"]},{"cell_type":"code","execution_count":43,"metadata":{"id":"3Qi7BlTpKGal","executionInfo":{"status":"ok","timestamp":1679664122257,"user_tz":-60,"elapsed":26,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["irf = results.irf()"]},{"cell_type":"code","execution_count":44,"metadata":{"id":"XVVFTbhggfrQ","executionInfo":{"status":"ok","timestamp":1679664124772,"user_tz":-60,"elapsed":2540,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"colab":{"base_uri":"https://localhost:8080/","height":735},"outputId":"de9bced0-3005-4d55-ab8f-bc784567f564"},"outputs":[{"output_type":"stream","name":"stdout","text":["Impulse Response functions of USDEUR\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 720x720 with 8 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}],"source":["irf.plot(response='EURUSD')\n","#fig = simple_plot()\n","print(\"Impulse Response functions of USDEUR\")"]},{"cell_type":"code","execution_count":45,"metadata":{"id":"Uvu3DPcl9Ukj","executionInfo":{"status":"ok","timestamp":1679664159637,"user_tz":-60,"elapsed":34897,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"colab":{"base_uri":"https://localhost:8080/","height":969},"outputId":"89687c11-954d-4d78-ec77-486b346fae9f"},"outputs":[{"output_type":"stream","name":"stdout","text":["All IRFs\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1692x1116 with 64 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}],"source":["#irf.plot();\n","fig = irf.plot()\n","fig.set_size_inches(23.5, 15.5)\n","#fig.savefig('test2png.png', dpi=100)\n","fig\n","#This is matrix of 1.USDEUR\tCPI_US\t2.CPI_EU\t3.Money_Market_Rate_US\t4.Money_Market_Rate_EU\t5.IPI_US\t6.IPI_EU\t7.M2_US\t8.M2_EU\tStock Market News\tEconomic Development News\tFED News\tMicro Finance News\tInternational Trade News\n","print(\"All IRFs\")"]},{"cell_type":"code","execution_count":46,"metadata":{"id":"8oaUS_Z1hW7P","executionInfo":{"status":"ok","timestamp":1679664161438,"user_tz":-60,"elapsed":1818,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"colab":{"base_uri":"https://localhost:8080/","height":735},"outputId":"e729e5c2-ae7f-4732-c88c-95a64e9698f1"},"outputs":[{"output_type":"stream","name":"stdout","text":["Impulse Response function of USDEUR to Stock Market News\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 720x720 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}],"source":["from pickle import TRUE\n","irf.plot(response='EURUSD', impulse = 'Stock Market News', orth=TRUE, signif=0.1)\n","print(\"Impulse Response function of USDEUR to Stock Market News\")\n","#fig = simple_plot()"]},{"cell_type":"code","source":["from pickle import TRUE\n","plt=irf.plot_cum_effects(response='EURUSD', impulse='Stock Market News', orth=TRUE, signif=0.05)\n","plt.savefig(\"Cumulative Impulse Response function of EURUSD to Stock Market News0.05.pdf\")\n","files.download(\"Cumulative Impulse Response function of EURUSD to Stock Market News0.05.pdf\") \n","plt=irf.plot_cum_effects(response='EURUSD', impulse='Economic Development News', orth=TRUE, signif=0.05)\n","plt.savefig(\"Cumulative Impulse Response function of EURUSD to Economic Development News0.05.pdf\")\n","files.download(\"Cumulative Impulse Response function of EURUSD to Economic Development News0.05.pdf\") "],"metadata":{"id":"-02U8KwgVbNA","executionInfo":{"status":"error","timestamp":1679664161439,"user_tz":-60,"elapsed":118,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}},"colab":{"base_uri":"https://localhost:8080/","height":939},"outputId":"0a08ae93-35a2-4be5-c76b-84468c7dca18"},"execution_count":47,"outputs":[{"output_type":"error","ename":"NameError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m<ipython-input-47-c743514a4dc8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mirf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot_cum_effects\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'EURUSD'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mimpulse\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'Stock Market News'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mTRUE\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msignif\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.05\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msavefig\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Cumulative Impulse Response function of EURUSD to Stock Market News0.05.pdf\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mfiles\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdownload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Cumulative Impulse Response function of EURUSD to Stock Market News0.05.pdf\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mirf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot_cum_effects\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'EURUSD'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mimpulse\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'Economic Development News'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mTRUE\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msignif\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.05\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msavefig\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Cumulative Impulse Response function of EURUSD to Economic Development News0.05.pdf\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mNameError\u001b[0m: name 'files' is not defined"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 720x720 with 1 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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9KoYgR6P82KN","executionInfo":{"status":"aborted","timestamp":1679664161441,"user_tz":-60,"elapsed":105,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["from pickle import TRUE\n","from google.colab import files\n","plt=irf.plot_cum_effects(response='EURUSD', impulse='Stock Market News', orth=TRUE, signif=0.05)\n","plt.savefig(\"Cumulative Impulse Response function of EURUSD to Stock Market News.pdf\")\n","files.download(\"Cumulative Impulse Response function of EURUSD to Stock Market News.pdf\") "]},{"cell_type":"code","execution_count":null,"metadata":{"id":"a0aC_cqE9nbk","executionInfo":{"status":"aborted","timestamp":1679664161443,"user_tz":-60,"elapsed":105,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["plt=irf.plot_cum_effects(response='EURUSD', impulse='Economic Development News', orth=TRUE, signif=0.1)\n","plt.savefig(\"Cumulative Impulse Response function of EURUSD to Economic Development News.pdf\")\n","files.download(\"Cumulative Impulse Response function of EURUSD to Economic Development News.pdf\") "]},{"cell_type":"code","execution_count":null,"metadata":{"id":"pw2HqmXY9nv_","executionInfo":{"status":"aborted","timestamp":1679664161446,"user_tz":-60,"elapsed":106,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["plt=irf.plot_cum_effects(response='EURUSD', impulse='FED News', orth=TRUE, signif=0.1)\n","plt.savefig(\"Cumulative Impulse Response function of EURUSD to FED News.pdf\")\n","files.download(\"Cumulative Impulse Response function of EURUSD to FED News.pdf\") "]},{"cell_type":"code","execution_count":null,"metadata":{"id":"of9N8dIE9n8H","executionInfo":{"status":"aborted","timestamp":1679664161448,"user_tz":-60,"elapsed":107,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["plt=irf.plot_cum_effects(response='EURUSD', impulse='Micro Finance News', orth=TRUE, signif=0.1)\n","plt.savefig(\"Cumulative Impulse Response function of EURUSD to Micro Finance News.pdf\")\n","files.download(\"Cumulative Impulse Response function of EURUSD to Micro Finance News.pdf\") "]},{"cell_type":"code","execution_count":null,"metadata":{"id":"kW9dL9xw9oLa","executionInfo":{"status":"aborted","timestamp":1679664161449,"user_tz":-60,"elapsed":106,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["plt=irf.plot_cum_effects(response='EURUSD', impulse='International Trade News', orth=TRUE, signif=0.1)\n","plt.savefig(\"Cumulative Impulse Response function of EURUSD to International Trade.pdf\")\n","files.download(\"Cumulative Impulse Response function of EURUSD to International Trade.pdf\") "]},{"cell_type":"code","execution_count":null,"metadata":{"id":"iCYYNsYHlHA4","executionInfo":{"status":"aborted","timestamp":1679664161450,"user_tz":-60,"elapsed":105,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["irf.plot(response='EURUSD', impulse = 'Economic Development News', orth=TRUE, signif=0.1) \t\t\t\n","#fig = simple_plot()\n","print(\"Impulse Response function of USDEUR to Economic Development News\")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"yfDffz5WlHq9","executionInfo":{"status":"aborted","timestamp":1679664161451,"user_tz":-60,"elapsed":105,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["irf.plot(response='EURUSD', impulse = 'FED News', orth=TRUE, signif=0.1)\n","print(\"Impulse Response function of USDEUR to FED News\")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zr7U85uglINi","executionInfo":{"status":"aborted","timestamp":1679664161452,"user_tz":-60,"elapsed":104,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["irf.plot(response='EURUSD', impulse = 'Micro Finance News', orth=TRUE, signif=0.1)\n","print(\"Impulse Response function of USDEUR to Microeconomic News\")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"4uTS3o-hlI74","executionInfo":{"status":"aborted","timestamp":1679664161453,"user_tz":-60,"elapsed":104,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["irf.plot(response='EURUSD', impulse = 'International Trade News', orth=TRUE, signif=0.1)\n","print(\"Impulse Response function of USDEUR to Trade News\")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"kS2udbzq9XSn","executionInfo":{"status":"aborted","timestamp":1679664161454,"user_tz":-60,"elapsed":104,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["#irf.plot_cum_effects(orth=False);"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"I4FsXdlDCufw","executionInfo":{"status":"aborted","timestamp":1679664161455,"user_tz":-60,"elapsed":104,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["from pickle import TRUE\n","irf.plot_cum_effects(response='EURUSD', impulse='Stock Market News', orth='TRUE', signif=0.1)\n","#irf.plot(response='EURUSD')\n","print(\"Cumulative Impulse Response function of EURUSD to Stock Market News\")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"LOGPBIcpnND7","executionInfo":{"status":"aborted","timestamp":1679664161456,"user_tz":-60,"elapsed":104,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["irf.plot_cum_effects(response='EURUSD', impulse='Economic Development News', orth=TRUE, signif=0.1)\n","print(\"Cumulative Impulse Response function of EURUSD to Economic Development News\")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"-O-XVJWUnNlG","executionInfo":{"status":"aborted","timestamp":1679664161457,"user_tz":-60,"elapsed":104,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["irf.plot_cum_effects(response='EURUSD', impulse='FED News', orth=TRUE, signif=0.1)\n","print(\"Cumulative Impulse Response function of EURUSD to FED News\")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"asFamK_7nNwO","executionInfo":{"status":"aborted","timestamp":1679664161459,"user_tz":-60,"elapsed":105,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["irf.plot_cum_effects(response='EURUSD', impulse='Micro Finance News', orth=TRUE, signif=0.1)\n","print(\"Cumulative Impulse Response function of EURUSD to Micro Finance News\")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"X47QBG07nQ63","executionInfo":{"status":"aborted","timestamp":1679664161460,"user_tz":-60,"elapsed":105,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["irf.plot_cum_effects(response='EURUSD', impulse='International Trade News', orth=TRUE, signif=0.1)\n","print(\"Cumulative Impulse Response function of EURUSD to International Trade News\")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"LAoUvCNLUW6o","executionInfo":{"status":"aborted","timestamp":1679664161461,"user_tz":-60,"elapsed":105,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["print(irf.irfs)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"16-EDIlbFBtR","executionInfo":{"status":"aborted","timestamp":1679664161462,"user_tz":-60,"elapsed":105,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["import statsmodels.api as sm\n","results_summary = results.summary()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"jxIarrFHnpL1","executionInfo":{"status":"aborted","timestamp":1679664161462,"user_tz":-60,"elapsed":104,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["#!pip install rpy2==3.5.1\n","#%load_ext rpy2.ipython"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Sq_1vdgJrNfk","executionInfo":{"status":"aborted","timestamp":1679664161463,"user_tz":-60,"elapsed":104,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["#%%R\n","\n","#plot(results.fevd(20), col=2:13)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"NiwnPK7r9lxu","executionInfo":{"status":"aborted","timestamp":1679664161464,"user_tz":-60,"elapsed":104,"user":{"displayName":"Digital 2020","userId":"05957751820960799131"}}},"outputs":[],"source":["# forecast\n","#results.plot_forecast(10);\n"]}],"metadata":{"colab":{"provenance":[{"file_id":"1TytjtwPSdXS0BXT5LbfRcgvF7g6gHEh2","timestamp":1679651952602},{"file_id":"1ipvqIqlz3yMVkG_vVmeI4ov5a8JN4VUr","timestamp":1675423675144},{"file_id":"1Z-XClrKZwq5w46VYTzQ87igd6eBEX_Hw","timestamp":1674722350375}]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}